SUMMARY:

• Responsible for the defining a long term cloud technology strategy and high level project planning supporting the strategy.
• Experience with public cloud deployments, specifically with AWS using the following services: VPC, EC2, S3, Autoscaling, Cloudwatch, Cloudformation, AIM, CloudTrail, SQS, SNS.
• Configured and provisioned cloud infrastructure with AWS CLI, Powershell, Teraform, Ansible and cloudformation.
• Designed and deployed Enterprise VPN and Amazon VPC integration with data center for disaster recovery.
• Extensive experience with monitoring, logging and cost management tools that integrate with AWS.
• Developed and designed centralized logging for data analytics using Spunk and ELK on AWS.
• Strong background and experience in IT architectures particularly with data center architectures.
• Strong understanding and knowledge of Linux, Automation Tools (Puppet/Ansible/Saltstack), AWS Services (EC2, Network, ELB, S3/EBS, etc.) or similar Public Cloud platform.
• Redesigned existing Amazon AWS infrastructure to improve security and availability, eliminate single points of failure, and enhance maintainability via simplification.
• Designed, implemented and maintained automation solutions for complex infrastructure and application on AWS.
• Created custom logging, reporting, and graphing solution to analyze application component bottlenecks, enable problem notifications and prevent potential failures.
• Built custom tools for reporting, troubleshooting, security audits, and automation of miscellaneous maintenance tasks.
• Designed, built and automated several multi - AZ infrastructures on top of Amazon Web Services.
• Implemented a real-time metrics collection, transport, visualization and alerting system using a mix of open source technology and home-grown software that handles 1 million data points per minute.
• Designed, built, and deployed microservices utilizing almost the entire AWS stack (Including EC2, R53, S3, RDS, DynamoDB, SQS, IAM, and EMR), focusing on high-availability, fault tolerance, and auto-scaling.
• Built systems to handle our infrastructure needs using tools like: Ansible, Packer, Vagrant, Docker, Ansible Tower, Serverspec
• Using Ansible to orchestrate zero downtime rolling update.
• Using CloudFormation and cfn-init to automate the build, deployment and updating of Bamboo build agents.
• Application monitoring via Amazon Cloud Watch custom metrics and alerting with PagerDuty.
• Worked with complex, globally distributed, highly-available architectures with strict SLA.
• Participated in company-wide security responses (to Heartbleed, Shellshock and Ghost) involving assessing our infrastructure for vulnerability, patching vulnerable systems, monitoring for attacks, etc.
• Building self-healing and self-monitoring system with saltstack using the event bus and reactors.
• Using Cloud Formation, orchestration engines, and source control systems to enable their applications to take full advantage of the scalability and reliability of the AWS cloud, creating self-reliant applications that can easily recover when things go seriously wrong with their infrastructure.
• Constantly optimizing Amazon AWS Usage with continual architecture revision leveraging several price reduction strategies to ensure an architecture model that actually becomes more efficient as features allow.
• Designed and built an event driven security solution on AWS using CloudWatch Events, Logs, CloudTrai l, AWS Web Application Firewall,SQS, SNS, VPC Flow Logs, AWS Config rules and Apache NIFI to detect and run automated scripts and playbook using Ansible to remediate security issues.
• Seamlessly transitioned AWS infrastructure from EC2-Classic to VPC, overhauled AWS accounts to follow latest security best practices, reduced AWS costs by over 30% and wrote documentation and ensured security is integrated into all cloud architecture solutions.
• As a Solutions Architect I help companies understand how to transform their IT infrastructure, operations & applications to make the most of the of the scalability, innovation & cost efficiency of the AWS platform.
• Built stream processing application with Amazon Kinesis Analytics connecting to kinesis firehorse processing the data with sub-second latencies, and continuously emit results to downstream destinations for use in real-time alerts, dashboards, or further analysis.
• Design and implementation of Real-time Stream Processing Using Apache Spark Streaming and Apache Kafka on AWS.
• Leveraged AWS managed services to build and design Scalable/elastic, available, reliable, secure, no/low admin data infrastructure.
• Design of scalable, reliable, high performance, fault tolerant and accurate systems using a variety of software development life cycles. Ability to balance network, security, software, database and business considerations.
• Automated the manual effort needed to analyze digital forensics collected from potentially infected user machines using a server less architecture which included AWS S3 events and lambda function to automate the pipeline from capture to analysis and notification.
• Developed and implemented an automation framework for remediation of alerts and issues. Tickets, logs and alerts are fed in to pipeline in real time and playbooks ran to resolve the issues. Includes mass server auditing, storing statistics and metrics, playbooks for various problems, and more.
• Monitoring and Metrics Gathering (CloudWatch, DataDog, Grafana)
• Building serverless systems using services such as AWS Lambda, API Gateway, S3, Kinesis and Elastic Transcoder.
• Big Data, Analytics, Databases, Business Intelligence, Visualization, Reporting, Data pipelines and streaming analytics.
• Responsible for architecting data pipelines for real-time data processing over large, distributed data streams. Using Amazon Kinesis/MapR streams/Kafka to continuously capture and process real-time data such as IoT sensor data, website clickstreams, financial transactions, social media feeds, IT logs, location-tracking events.
• Expertise in ETL, data warehouses, cloud architecture, and business intelligence at scale.
• Built and deployed a real-time streaming data platform for producer and consumer applications to stream information between each other efficiently. This was achieved by connecting applications via a common message bus (Apache kafka) and a standardized message format Avro(schema evolution). It allowed us to stream database changes(change data capture) and log events into any service or system that needed them and served as the basis data integration system, ETL pipelines and micro-services design.
• Design of data pipeline that enables event-based data to be available for both analytic and real time application
• Implemented Kafka in multi-datacenter environment to replicate streams of events from various locations into a central data center for analytics. Synchronously updated identical Kafka mirrors across data centers to enable failover for disaster recovery.
• Utilized Kafka s replication tool - MirrorMaker, to stream all the data from the on-prem Kafka to a second Kafka cluster in AWS for a real-time stream application storage on s3 and eventually archiving to glacier.
• Implemented complex data infrastructure to run distributed search backend on elasticsearch.
• Built Tableau dashboards that computed trends in all our tickets and visually displays the top trends at any given time in history. It used several different attributes about a ticket such as issue type, user location, user group, ticket content, and more. With this data it analyzes a time series of each attribute across all tickets and ranks them to detect spikes and trends in near real-time.
• Configured Ansible to manage AWS environments and automated the build process for core AMIs used by all application deployments including Autoscaling, and Cloudformation scripts
• Automated SaltStack Configuration deployment using Jenkins to use GitRepo instead of local files.
• Integrating data pipelines cognitive services such as (IBM bluemix cognitive platform) for analyzing images and video to understanding sentiment, keywords and entities from text.
• Created and maintain a vast PCI Compliant VPC within Amazon Web Services Cloud infrastructure with over 60 active subnets and Direct Connect w/Failover VPN connectivity to our local data center.
• Designed and built an event driven analytic pipeline leveraging Amazon S3for storing source, intermediate, and final output data;AWS Lambdafor intermediate file level ETL and state management;Amazon RDSas the state persistent store;Amazon EMRfor aggregated ETL (heavy lifting, consolidated transformation, and loading engine); andAmazon Redshiftas the data warehouse hosting data needed for reporting
• Designed a data pipeline to detect anomalies in real time for log stream, using theRANDOM CUT FORESTfunction available in Amazon Kinesis Analytics. The components of the analytics pipeline included an AWS Cloud Formation, Amazon API Gateway API, Amazon Kinesis streams, AWS Lambda function and Amazon SNS.
• Implemented and designed complex data pipelines to organize a stream of data into an efficient queue using Apache Kafka; process the data in flight using stream analytics the data in a highly scaling and fault-tolerant database using Apache Cassandra;
• Built a real-time data pipeline to ingest realtime gps data from trucks intoMemSQL using Spark Streaming and Apache kafka.
• Connecting with data; Using the Tableau interface / paradigm to effectively create powerful visualizations.
• Create calculations including string manipulation, advanced arithmetic calculations, custom aggregations and ratios, date math, logic statements and quick table calculations.
• Representing data using various visualization types: crosstabs, scatter plots, geographic maps, pie and bar charts, motion charts - small multiples, heat maps - density charts, tree maps - highlight tables, waterfall charts, funnel charts, bullet charts, and different mark types on dual axis/combo charts, drill down/drill across on dashboards.
• Development of pass-through SQL scripts for live connections in real-time dashboards.
• Build advanced chart types and visualizations: bar in bar charts - bullet graphs, box and whisker plots - pareto charts, build complex calculations to manipulate data, using statistical techniques to analyze data, using parameters and input controls to give users control over certain values, implement advanced geographic mapping techniques and using custom images and geocoding to build spatial visualizations of non-geographic data, combine data sources by joining multiple tables and using data blending, make visualizations perform as well as possible by using the data engine, extracts, and using connection methods correctly, build better dashboards using techniques for guided analytics, interactive dashboard design, and visual best practices, implement efficiency tips and tricks
• Trained Machine learning model using MonkeyLearn and BigML machine learning platform to automatically classify incoming help desk tickets to the appropriate groups(Topic Modelling).
• Designed and implemented pipelines for automating Machine Learning Workflows.
• Automated all facets of building, integrating, testing and deploying infrastructure code.
• Network, System Architecture & Security/ Cisco Unified Communication, Collaboration and Call Center Design
• 7 years of related Network, Security and Design and Implementation experience for mid-size and enterprise environments
• Expertise in creating repeatable, reliable, scalable network architectures, with fault tolerance, performance tuning, monitoring systems, statistics/metrics collection, and disaster recovery
• Expert working knowledge (including the ability to setup, configure, upgrade, manage, and troubleshoot) Cisco routers, switches, firewalls, 802.11 wireless access points, Wireless LAN Controllers and load balancers
• Strong expertise in Cisco Nexus, Cisco Catalyst 6500 Series, Cisco 4500 Series, Cisco Catalyst 3750X, 3560 and 2960S Series Switches
• Excellent knowledge of TCP/IP, including packet-level traffic analysis
• In-depth understanding of network security and access control strong knowledge with networking features and protocols such as spanning tree, ARP, CDP, EIGRP, RIP, OSPF, BGP, VTP, Ether channel, 802.1Q trunking, MLS, HSRP, QoS, multicast, 802.11, IPsec, Frame Relay, RADIUS/TACACS+, SNMP, T-1/E-1, BRI/PRI, MPLS, dial-up services, and caching services.
• Designed and Implemented Cisco UCS pods in Nexus 7000 and Cisco 6500 Platform
• Configured UCS Fabric Interconnects 20
• Configure UCS Manager by defining Service Profile Template, Policies & Pools for Production Servers and DR Servers
• Design and Configure the vNIC & vHBA Fabric/Templates based on Application bandwidth requirement
• Designed Virtualization and Cloud computing on UCS platform for a huge cost savings by reducing port costs of MDS and 6500 switches by implementing DCB/FCoE and reducing Cabling, Power & Cooling costs
• Experienced in Configuring/Troubleshooting Cisco Routers ASR 1000/7600//7300/7200/3900
• Experienced in Configuring/Troubleshooting Routing Protocols EIGRP/OSPF/BGP/RIP/IS-IS
• Responsible for global operation for over 700 sites across the globe from a networking angle.
• Providing high level technical support, including identifying and resolving problems on a daily basis.
• Worked on Voice Gateways, Communication Manager, including VMware installations and complete implementation of voice network
• Responsible for technical coverage on communications and associated server platforms such as Cisco TelePresence servers.
• Responsible for site consolidation and migration globally.
• Providing a clear and comprehensive understanding of the networks by authoring and maintaining documentation of the network configuration and .
• Provided troubleshooting, analysis, and design support for the Global Network Services (GNS) team, including resolving complex large-scale WAN, routing, switching, data center, Quality of Service, and application networking issues.
• Provided network integration services for new acquisitions, to bring acquired companies on the corporate MPLS backbone.
• Managed over 3000 routers, 2,000 switches, and 200 WAN accelerators.
• Was responsible for testing, evaluating, and implementing new network products, services, protocols, methods in a lab environment to provide proof of concept for emerging technologies.
• Analyzed network performance and health using NetQOS suite of NetFlow and SNMP products.
• Redesigned entire legacy Internet-based IPsec WAN to a QoS-aware MPLS VPN network with Verizon Business, AT&T, and Telstra International service providers.
• Implemented Layer 3 and Layer 2 QoS on all HQ and branch office sites.
• Extensive experience in resolving difficult routing, switching, application networking, and hardware issues.
• Installed and maintained security infrastructure, including IPS, IDS, log management, and security assessments. Assessed threats, risks, and vulnerabilities from emerging security issues.
• Drafted enterprise security standards and guidelines for system configuration.
• Reviewed security logs to ensure compliance with policies and procedures and identifies potential anomalies.
• Logs, Text Engineering, Natural Language Processing and Search Relevance Tuning
• Infrastructure as code (Terraform, Ansible, Puppet, Cloudformation and Saltstack)
• Unified Logging infrastructure (Kafka and Kinesis).
• Data driven security. Security visualization dashboards.
• Zero downtime deployment, Canary deployment, Red and blue deploymentsBig Data ingestion systems. NoSQL data modelling (Cassandra,Dynamodb,Hbase and Mongodb)
• Data pipelines for log analysis and ETL processing. Designing devops workflows.
• Architecting big data solutions on Hadoop using Sqoop, Pig, Hive, Hdfs, Spark etc .
• Data driven approaches to IT Operations Analytics.
• Real - time and streaming processing Data pipeline engineering.
• Dashboard design for security, performance and operational visibility
• Application and infrastructure instrumentation.
• IT operational intelligence using Splunk and ELK stack.
• Serverless Microservice on AWS (AWSStep Functionsand Lambda)
• Expertise with log shipping and data parsing/enrichment; centralize log management repository and search; data visualizations; reporting; dashboards; alerting; integrations with additional strategic monitoring solutions.
• Experience with REST API design: AWS API Gateway, Swagger and Hapi.js
• Expertise is designing, implementing and optimizing unified logging system or message brokers such as Apache Kafka, Amazon Kinesis and MapR streams .
• Design, Operation and optimization of large elasticsearch clusters for low latency indexing and low latency queries.

TECHNICAL SKILLS:

Cluster Management: Mesosphere, AWS and Kubernetes

Data Visualization: Tableau, Spotfire, QlKVIEW,AWS QuickSight

AWS: Amazon Athena,Amazon API Gateway,Amazon CloudSearch,Amazon CloudWatch,Amazon CloudWatch Events,Amazon CloudWatch Logs,Amazon Cognito,Amazon DynamoDB, ECR,ECS,SAmazon ElastiCache,EBS,EC2,EFS,Amazon Elastic MapReduce,Amazon Elasticsearch Service,Amazon Elastic Transcoder,Amazon Glacier,Amazon Kinesis Analytics,Amazon Kinesis Firehose,,Amazon Kinesis Stream,Amazon Machine Learning,Amazon QuickSight,Amazon Redshift,Amazon Rekognition, (RDS),Amazon SimpleDB, SES,SNS,SQS,S3, SWF,(VPC),Amazon WorkSpaces,Auto Scaling,AWS CloudFormatio, AWS CloudHSM,AWS CloudTrail,AWS Config,AWS Database Migration Service,AWS Data Pipeline,AWS Direct Connect AWS Directory Service, AWS Snowball,AWS Step Functions,AWS IoT,AWS Key Management Service,AWS Lambda, AWS OpsWorks Stacks,Elastic Load Balancing,VM Import/Export

Cloud Monitoring /Alerting/Logging tools: (Splunk, DataDog, New Relic, Nagios, Pager Duty, ELK, Application Performance Monitoring, Elastic Search,Loggly)

Data serialization: Parquet,Csv json,Ocr,Avro Databases: MySQL, Cassandra, MongoDB, MariaDB, DynamoDB, Postgressql,couchdb, Bigquery, Amazon Redshift, Redis, Memsql,Inlfuxdb.

Big Data: HDFS,Apache Flume,Apache Spark,Hive,Pig,Apache sqoop,Cloudera,Hortonworks

ETL Tools: Informatica Cloud, Pentaho kettle, Talend

Switch: X, 3850, 4500,6500 seriesNexus:Nexus 48 UP / 32 PP / 2248 TP / 1000 V

UCS: Fabric Interconnect 6248/6120, IOM 2208/2204/2104, B200 M2, HP VC FLEX-10

Routers: 800, 2900,3800,3900,7200 series

Routing protocols: EIGRP, OSPF,IS-IS,RIP, RIPv2,BGP, PfRSwitching: Spanning-tree (STP,RSTP,MST), DTP, VTP Ether channel(PAgP,LACP), QinQ Tunneling, ISL, 802.1Q,UDLD,PortFast, UplinkFast, Backbone Fast, 802.1d, 802.1w, 802.1s, RSPAN SPAN

High availability: HSRP, VRRP, GLBP, SSO/NSF

MPLS Technologies: MP-BGP, LDP, MPLS-TE Fast reroute link and Node protection, L3VPN, L2VPN, MPLS QoSQuality of service(QOS): SLA,LLQ,CBWFQ,WFQ,WRED,HQF,Shaping,Policing,MPLS VPN Qos, NBAR,RSVP

VOIP: Cisco Unified Communications Manager (6, 7, 8.5, 9,10), Cisco unity connection 8.5, Cisco Unified Meeting Place,Cisco WebEx Server, UCCE/UCCX,RTP,SRTP

Security: IPSec VPN, RADIUS, TACACS+, Kerberos, Cisco Authentication Proxy, IOS Firewall, Cisco VPN Concentrators, Cisco PIX/ASA Firewall, Checkpoint Firewall-1, 802.1x, Digital s, PKI, HIPS, SNORT.VLAN Access Maps (VACLs),(uRPF), Implement Control Plane Policing (CoPP),NAT,) Private VLANs

Wireless: Cisco Wireless Lan Controllers 4400, Cisco WLC 5500, Cisco Virtual Wireless Controller HREAP, Guest, PSK, 802.1X, WPA/WPA2 with EAP- TLS, EAP-FAST, PEAP, LEAP,WCS, LWAPP, Aruba 3000 Series Mobility Controllers, Cisco Aironet 1100/1200/1300

WAN/VPN: DMVPN, GETVPN, EASYVPN,SSL VPN, TLS, VPLS, CWDM), dense wavelength- division multiplexing (DWDM), EoMPLS

Virtualization: VMware Infrastructure (vCenter, vSphere, ESXi), VSPHERE 6 Cisco UCS, OpenStack, Cisco UCS, FabricPath, FCoE, FEX, Network Virtualization, Nexus, NIV, NSX, NVP, OpenFlow, OpenStack, TRILL, vPC, VXLAN .

Operating Systems: RHEL 5 & 6, Red Hat Linux 8.0/9.0, CentOS-5/6/7, CoreOs,Sun Solaris 10/11, Oracle Sun Solaris 11, Windows 2003/2008/2012, UnixSystem Center Configuration Manager (SCCM)

Microsoft Azure: Azure Cloud Services, Microsoft Azure, Azure VMs, Azure Virtual Network, Azure Websites, Windows 2008, 2012, Office 365Analytics Tools: R Studio, Rapid MinerMisc: Apache Kafka Manager

Architectures: Event-Driven Architecture or Message-driven architectures DevOps, Cloud, Data Center Engineering, Monitoring, Centralized logging

WORK EXPERIENCE:

Confidential

Solutions Architect

Responsibilities:

• Logging and monitoring infrastructure (splunk and elk stack ).
• Event driven security on AWS.
• Building security data pipeline to feed SIEM infrastructure.
• Adhoc rapid prototyping of solutions.
• Infrastructure as code implementation (Git, Jenkins, Terraform, Ansible, Saltstack and Jira).
• Design and operation of scalable, secure and elastic log ingestion pipelines with Kafka, S3, logstash, elasticsearch, ELB and Dynamodb.
• Automation of security and policy enforcement of AWS .
• Automated infrastructure tasks for NOC using Python, Bash, and Jenkins
• Integrated automation 3rd Party RESTful APIs.
• Automating Salt Stack Configuration deployment using Jenkins to use GitRepo instead of local files.
• Created standardized naming scheme; utilized Ansible to programmatically implement system configuration settings on Fedora/RHEL systems; multiple discrepancies eliminated across systems in two cloud environment.
• Instituted configuration and systems management via Ansible; inventoried and standardized system configurations and package installations; trained other team members in the use of Git and Ansible.
• Responsible design, deployment Operation of a Security Incident & Event Management (SIEM) solution based on Splunk.
• Research and design of IAM methods that involve SAML 2 for secure authentication management in disparate distributed web-based applications that exist in AWS .
• Configured Ansible to manage AWS environments and automated the build process for core AMIs used by all application deployments including Autoscaling, Packer and Cloudformation scripts.
• Design of infrastructure for consolidating and analyzing infrastructure metrics, call center metrcis, helpdesk tickets, infrastructure logs, application logs and security logs.
• Conducted sophisticated security reviews - from high level infrastructure architecture to OS level parameters in order to meet security goals.
• Built extensive grafana + influxdb+ telegraf infrastructure for monitoring, which enticed our Dev teams to adopt statsd for real-time application performance reporting, allowing quicker identification and resolution of production incidents and better performance profiling of releases.
• Designed, implemented ans automated AWS infrastructure for next-generation cloud application using Terraform Cloudformation and Ansible.

Confidential

Solutions Architect and Data engineering

Responsibilities:

• Cloud Architecture and Cut engineering.
• Logging and monitoring infrastructure (splunk and elk stack ).
• Event driven security on AWS.
• Building security data pipeline to feed SIEM infrastructure.
• Adhoc rapid prototyping of solutions.
• Infrastructure as code implementation (Git, Jenkins, Terraform, Ansible, Saltstack and Jira).
• Design and operation of scalable, secure and elastic log ingestion pipelines with Kafka, S3, logstash, elasticsearch, ELB and Dynamodb.
• Automation of security and policy enforcement of AWS .
• Automated infrastructure tasks for NOC using Python, Bash, and Jenkins
• Integrated automation 3rd Party RESTful APIs.
• AutomatingSaltStack Configuration deployment using Jenkins to use GitRepo instead of local files.
• Created standardized naming scheme; utilized Ansible to programmatically implement system configuration settings on Fedora/RHEL systems; multiple discrepancies eliminated across systems in two cloud environment.
• Instituted configuration and systems management via Ansible; inventoried and standardized system configurations and package installations; trained other team members in the use of Git and Ansible.
• Responsible design, deployment Operation of a Security Incident & Event Management (SIEM) solution based on Splunk.
• Research and design of IAM methods that involve SAML 2 for secure authentication management in disparate distributed web-based applications that exist in AWS .
• Configured Ansible to manage AWS environments and automated the build process for core AMIs used by all application deployments including Autoscaling, Packer and Cloudformation scripts.
• Design of infrastructure for consolidating and analyzing infrastructure metrics, call center metrcis, helpdesk tickets, infrastructure logs, application logs and security logs.
• Conducted sophisticated security reviews - from high level infrastructure architecture to OS level parameters in order to meet security goals.
• Built extensive grafana + influxdb+ telegraf infrastructure for monitoring, which enticed our Dev teams to adopt statsd for real-time application performance reporting, allowing quicker identification and resolution of production incidents and better performance profiling of releases.
• Designed, implemented ans automated AWS infrastructure for next-generation cloud application using Terraform Cloudformation and Ansible.

Confidential

Data Infrastructure Engineering

Responsibilities:

• Dashboard to integrate all audit information across the organization to answer who, what, when, about any system in the enterprise to support near-real time operations and executive reporting.
• Providing a unified single pane dashboard solution to access audit and change data .
• Responsible for design, implementation operation of Kafka cluster.
• Implemented real-time ELT (NIFI and Streamset) infrastructure for enterprise analytics.
• Enriching system logging and security data with external sources such as help desk tickets, location and unstructured data etc
• Impact modelling of IT infrastructure with neo4j.
• Data warehouse migration to AWS redshift using Apache Kafka and mirror maker for data migration.
• Responsible for architecture, installation, operation, and tuning of Hadoop/HBase, ElasticSearch, and Cassandra Bulk loading from from disparate data sets into both HBase and ElasticSearch.
• Pre-processing using Hive and/or Pig. Constructing ElasticSearch and SQL queries.
• Planned, implemented, and managed Splunk for log management and analytics.
• Standardized Splunk agent deployment, configuration and maintenance across a variety of UNIX and Windows platforms using anisble for automation.

Confidential

Network and Security Architect

Responsibilities:

• Implementation of 802.1x implementation for school system to improve security as per security audit recommendations.
• Responsible for providing effective support for over 200 sites interconnected through a complex WAN using various technologies such as Frame Relay and Fiber TLS connection via ISP.
• Lead Aruba Enterprise Wireless LAN design and deployment including 2000 + Access points, Integrated solution with Active Directory Team enabling secure connection via user logins
• Implemented VLANs, routing protocols and network infrastructure standards
• Recommending investments in new networking technologies to senior management where warranted; and providing consultation during the planning and implementation of successfully tested new technologies
• Architected and developed solution for streaming telemetry data from routers, switches to build fault analytics systems in splunk
• Enriching and providing context to machine data from high level data such as user location, remedy ticket information, custom risk scores e.t.c using Splunk DB Connect.
• Responsible for the Design and maintaining production-quality dashboards with splunk
• Designing reliable, efficient queries that will feed custom Alert, Dashboards and Report.

Confidential

Senior Enterprise Network and Data Center Engineer

Responsibilities:

• Responsible for designing, configuring, testing, deploying and supporting technical solutions for VoIP telephony, Cisco Unified Communications, and Unity connection.
• Manage initial design and evolution of Switch Architecture and Platforms, utilizing VoIP Protocols and standards including SIP, MGCP, H323, and SCCP.
• Responsible for end-to-end implementation of VoIP systems from a call processing perspective, including verification that individual VoIP components are operating in accordance with their respective product specifications, as well as testing of the VoIP System for operational readiness.
• Migrated over 15,000 users Nortel PBX to cisco unified communication cluster.
• Use BAT tool to import/export users and phones.
• Troubleshoot and solve customer ticket requests such as dialing/routing issues, name/extensions changes, voicemail password resets, and CCM user issues.
• Provided level 1 and level 2 technical on troubleshooting CUCM and ip phones issues for junior engineers.
• Integrated voice gateways with new cluster.
• Created network diagrams for gateways, phones, call flow and network connectivity to other sites.
• Responsible for design, staging, configuration, implementation, and support for VoIP installations as necessary.
• Implemented and troubleshooted T1/E1, PRI,T1/E1 CAS,H.323,MGCP,SIP,H.323, RAS,IP-IP Gateway/CUBE.

Confidential

Unified Communication Engineer

Responsibilities:

• Responsible for global operation for over 700 sites across the globe from a networking angle.
• Providing high level technical support, including identifying and resolving problems on a daily basis.
• Worked on Voice Gateways, Communication Manager, including VMware installations and complete implementation of voice network
• Responsible for technical coverage on communications and associated server platforms such as Cisco TelePresence servers.
• Responsible for site consolidation and migration globally.
• Providing a clear and comprehensive understanding of the networks by authoring and maintaining documentation of the network configuration and .
• Provided troubleshooting, analysis, and design support for the Global Network Services (GNS) team, including resolving complex large-scale WAN, routing, switching, data center, Quality of Service, and application networking issues.
• Provided network integration services for new acquisitions, to bring acquired companies on the corporate MPLS backbone.
• Managed over 300 routers, 2,000 switches, and 200 WAN accelerators.
• Was responsible for testing, evaluating, and implementing new network products, services, protocols, methods in a lab environment to provide proof of concept for emerging technologies.
• Analyzed network performance and health using NetQOS suite of NetFlow and SNMP products.
• Redesigned entire legacy Internet-based IPsec WAN to a QoS-aware MPLS VPN network with Verizon Business, AT&T, and Telstra International service providers.
• Implemented Layer 3 and Layer 2 QoS on all HQ and branch office sites.
• Extensive experience in resolving difficult routing, switching, application networking, and hardware issues

Confidential

Network And System Engineer

Responsibilities:

• Provided network design, implementation guidelines and strategic advice to clients.
• Worked with large ISP on QoS architecture, business case, risks, and impact statements.
• Produced configuration templates for initial deployments, including support for VoIP and Streaming Video on Demand.
• Led a major initiative to develop a roadmap and standards to oversee all aspects of the Douala Sea Port Authority mission critical network Infrastructure consisting of over 25 routers,100 switches, 100 VLANs, and 5 pairs of Cisco Firewall Switching Modules (FWSM).
• Bootstrapped a small NOC using HP Openview and Solarwinds aimed at providing proactive response to network outages and performance issues before they became evident to network end-users.
• Performed installation, device population, SNMP trap tuning, and other integration with HP-OpenView Network Node Manager and Tivoli Netview for our network operation center.
• Designed enterprise wide QoS architecture which enforced stringent service level agreements, enabling network-wide resilience and increased network availability.
• Produced configuration templates for initial deployment, including support for VoIP and Streaming Video on Demand.

Confidential

Network Engineer

Responsibilities:

• Reviewed design for High Availability, L2 and L3 switching to the access layer, L2 security, QoS, IP multicast, ACE module deployment, and Cisco controller-based wireless networking.
• Conducted initial configurations for Active Directory, Exchange, DHCP, DNS, WSUS, WDS, Antivirus and backup servers.
• Provided server consolidation with VMware for small and medium size businesses.
• Consult businesses on upgrading, enhancing, and replacing legacy network systems with new LAN/WAN technologies.
• Performed TCP/IP packet-capture analysis for forensics, network troubleshooting, and security.