SUMMARY

• Around 10 Years of IT industry Experience in Linux Administration, wif Software Configuration Management, Change Management, build automation, Release Management and Azure/AWS/DevOps experience in large and small software development organizations.
• Experience in using Build Automation tools and Continuous Integration concepts by using tools like ANT, Jenkins and Maven.
• Experience in Big Data processing using Apache Hadoop.
• Experience using Big Data technologies including Hadoop stack.
• Experience in using Configuration Management tools like Puppet, Chef, Ansible.
• Developed Puppet modules to automate application installation and configuration management.
• Expertise on all aspects of chef server, workstations, Nodes, chef clients and various components like Ohai, push jobs, supermarket etc.
• Extensively worked on Vagrant&Docker based container deployments to create environments for dev teams and containerization of env’s delivery for releases.
• Experienced in Provisioning of IAAS & PAAS concepts of cloud computing and Implementing using, Aws, Azure,Google Cloud Platform understanding teh principals of (SCM) in Agile, Scrum and Waterfall methodologies.
• Manage teh Windows Azure infrastructure for our customers depends on their requirement. Worked on Microsoft AzureStorage - Storage accounts, blob storage, managed and unmanaged storages. Responsible of web application deployments over cloudservices (web and worker roles) on Azure, using VS and PowerShell.
• Experience in working on Docker Hub, creating Docker images and handling multiple images primarily for middleware installations and domain configuration.
• Experience on Migrating SQL database to Azure data Lake, Azure data lake Analytics, Azure SQL Database, Data Bricks and Azure SQL Data warehouse and Controlling and granting database access and Migrating On premise databases to Azure Data lake store using Azure Data factory.
• Hands on experience in GNU tool chain (Gcc, gdb, make, arm Gcc)
• Enterprise-level experience - Working wif large teams and involved in architecture of highly scalable, secure, distributed applications, aligned wif company standards, process, methodologies, and best practices.
• Ensured teh responsible for overall technical quality, migration, deployment standards and architecture of teh application
• Planning and implementation of data and storage management solutions in Azure (Azure SQL, Azure files, Queue storage, Blob storage). Implementing scripts wif PowerShell for Runbooks.
• Knowledge on various Docker components like Docker Hub, Machine, Compose and Docker Registry.
• Experience in VSTS, TFS, Gated Check - ins, Build Definitions, Release Management, PowerShell, Power BI.
• Maintained Jenkins masters wif over 80+ jobs for over 10+ different applications supported Several Quarterly and project releases in parallel.
• Experience in Performance Monitoring & Analysis using AppDynamics, Splunk, Dynatrace, Windows PerfMon, SQL Profiler, VMStat, IOStat, etc.
• In-depth knowledge of Data Sharing in Snowflake.
• Efficient in Build and configuration of infrastructure in cloud development through teh usage of Terraform tool as IaC, and ability of modifying teh Terraform modules based on teh requirement of development project.
• Deliver of Desktop based UI projects
• Experience Active Directory, Azure Active Directory, ADFS, Azure Active Directory Domain Service, SSO and MFA and security
• Experience wif Snowflake Multi-Cluster Warehouses.
• Strong knowledge of TCP/IP, UDP, DNS network, load balancing, firewalls and enterprise monitoring tools Splunk.
• Created Web API methods for three adapters to pull data from various systems like Database, BizTalk and SAP
• Proficient inPython, Shell Scripting, SQL, build utilities like open make,ANTand Cruise Control.
• Administered and Configured teh TFS wif in multi -platform environments.
• Management and Administration of AWS Services CLI, EC2, VPC, S3, ELB Glacier, Route 53, Cloudtrail, IAM, and Trusted Advisor services.
• Installed and Configured teh Jfrog Artifactory and Mission Control.
• Experience in monitoring & capturing browser side performance metrics using Browser DevTools, AppDynamics EUM (End User Monitoring), Dynatrace UEM (User Experience Management) and good knowledge on PageSpeed, sitespeed.io, webpagetest for evaluating client - side performance from real browsers.
• Experienced in Gitlab CI and Jenkins for CI and for End-to-End automation for all build and CD.
• Excellent SQL query development and optimization skills PL/SQL, SQL.
• Proficiently administer and implement Professional Services Salesforce.com; FinancialForce.com; Marketo.com; Jitterbit; Cloud Computing; PaaS; and SaaS technologies.
• Expertise in using Nexus and Arti factory Repository server for Maven and Gradle builds.
• Ability to build deployment, build scripts and automated solutions using Shell Scripting.
• Experience in using monitoring tools like Icinga, Nagios.
• In Depth experience in Oracle/SQL Server: DDL / DML statements, complex SQL queries, Stored Procedures, Functions and Triggers.
• Good knowledge and experience in using Elasticsearch, kibana and fluentd, CloudWatch, Nagios, Splunk, Prometheus and Grafana for logging and monitoring.
• Experienced in branching, tagging and maintaining teh version across teh environments using, Software Configuration Management tools like GITHUB, Subversions (SVN) like GIT, and Team Foundation Server (TFS) on Linux and Windows platforms.
• Experienced migrating SVN repositories to GIT.

TECHNICAL SKILLS

DevOps Tools: Nexus Repository, SonarQube, Jenkins, Puppet, Chef, Ansible, Docker, Nagios,PING, GIT.

Infrastructure as A service: AWS, Azure, Google Cloud (GCP), Azure Databricks, Azure SQL database, Azure SQL Datawarehouse, open stack (basic understanding).

Virtualization Platforms: Virtual Box, VMware, Vagrant.

Operating Systems: UNIX, Linux, Red Hat, Windows, FreeBSD.

Scripting Languages: Bash, Perl, Golang, Python, Ruby.

Version Control Software: Subversion, GIT, Perforce.

CD Tools: Cruise, Urban CodeuDeploy, UrbanCode Release/Build

Logging: Sumo Logic, Splunk, Salesforce.

Monitoring 24/7: Nagios, Page Duty.

PROFESSIONAL EXPERIENCE

Confidential

Sr Devops / Site Reliability Engineer

Responsibilities:

• Site Reliability Engineering (SRE) is a discipline dat combines software and systems engineering for building and running large-scale, distributed, fault-tolerant systems. SRE ensures dat internal and external services meet or exceed reliability and performance expectations of engineering principals.
• Assist in teh Development Priority List process working wif Product Management group to address issue identified as part of Problem Management.
• Demonstrable cross-functional knowledge wif systems, storage, networking, security and databases.
• System administration skills, including automation and orchestration of Linux/Windows using Chef, Puppet, Ansible, Salt Stack and/or containers (Docker, Kubernetes, etc.).
• Provide solutions for performance management, disaster recovery, monitoring and access management
• Engage in and improve teh software development lifecycle - from inception and design, through development, deployment, operation, and refinement for greater reliability.
• Experience managing Infrastructure as code via tools such as Terraform or CloudFormation.
• Experienced in Configuration Management, Cloud Infrastructure, and Automation like OpenStack, Jenkins, SVN, and GitHub.
• Exceptional understanding of data structures, algorithms, object oriented design, and design patterns.
• Expertise to buildDevOpspipelines for custom apps as well as for packaged products, CMS apps, microservices drive apps. Possesses experience in integrating surrounding tools such as testing, monitoring, security testing, IaC tools, etc.
• Experience in Hadoop Architecture and writing both Mappers and Reducers algorithm
• Migrated All teh Repositories From bitbucket to GitHub and apply few automation functions like webhooks.
• Responsible on Jenkins side to update teh images and updating teh POS.
• Configuring and Deploying infrastructure for different application like Data Fabric, Data Management and Workspace Management.
• Provide recommendations for building theautomated lifecycle forDevOps
• Work/support business users to understand issues, develop root cause analysis and work wif teh team for teh development of enhancements/fixes.
• Utilized Spark to improve teh performance and optimization of teh existing algorithms in Hadoop using Spark context, Spark-SQL, Data Frame, pair RDD's, Spark YARN.
• Works wif teh team to develop, maintain, and communicate current development schedules, timelines and development status.
• Provide engineering design across different workloads including incident & problem management, change management, security and compliance.
• Improve security and performance of infrastructure by working wif other teams
• Identifying opportunities to improve infrastructure dat TEMPeffectively and efficiently utilizes teh Microsoft Azure Windows server 2008/2012/R2, Microsoft SQL Server, Microsoft Visual Studio, Windows PowerShell, Cloud infrastructure.
• Implement best practices and maintain Source Code repository infrastructure (Using GIT).
• Building/Maintaining Docker/ Kubernetes container clusters managed by Kubernetes Linux, Bash, GIT, Docker, on GCP.
• Set up a GCP Firewall rules in order to allow or deny traffic to and from teh VM's instances based on specified configuration and used GCP cloud CDN (content delivery network) to deliver content from GCP cache locations drastically improving user experience and latency.
• Involved in CI/CD process using GIT, Nexus, Jenkins’s job creation, Maven build and Create Docker image and use teh docker image to deploy in gcloud clusters.
• Using Terraform files and updating for deploying teh infrastructure like main.tf, yaml file.
• Managing teh Infrastructure on Google cloud Platform using Various GCP services.
• Configuring and deploying instances on GCP environments and Data centers, also familiar wif Compute, Kubernetes Engine, Stack driver Monitoring, Elastic Search and managing security groups on both.
• Running and Configuration of Jenkins pipelines and troubleshooting it
• Work wif and lead other members of teh team in staying on top of key industry innovation and technology, and assist in team development growth

Confidential, Charlotte, NC

Sr DevOps Engineer / Azure Kubernetes Administrator

Responsibilities:

• Worked closely wif developers in building Angular application and Troubleshooting UI build issues.
• Administrating and supporting company’s Azure Kubernetes infrastructure, ensuring it is secure, resilient and performance and responsible for complete DevOps activities and coordinating wif development team.
• Working as Kubernetes Administrator, involved in configuration for web apps, Azure App services, Azure Application insights, Azure Application gateway, Azure DNS, Azure traffic manager, App services.
• Configured V-net integration, Active directory, Encryption, and security on Azure using ARM templates and PowerShell scripts.
• Involved in design, implementation and modifying thePythoncode.
• Developedwebsiteboth frontend and backend modules using PythonDjangoWeb Framework.
• DevelopedPythonandshell scriptsfor automation of teh build and release process.
• Configure Continuous Integration from source control, setting up build definition wifin Visual Studio Team Services (VSTS) and configure continuous delivery to automate teh deployment of ASP.NET MVC applications to Azure web apps and managed Azure Active Directory, Office 365 and applied upgrades on a regular basis.
• Developed PowerShell scripts and ARM templates to automate teh provisioning and deployment process.
• Strong experience wif CI/CD tools, AzureDevOps, IaC Pipelines, Agents, Build/Deployment scripts
• Ability to write SQL queries
• Strong Automation Experience.Good experience onDocker, scripting, package manager tools, code quality and security assessment tools, Azure Monitor, App. Insights
• TEMPHas good experience wifAzure Cloud, PaaS, IaaS, SaaS architecture from Technical and non-Technical perspectives.
• Worked on teh CICD setup for all teh Microservices on Profile, Service Availability, Cart, Pricing and promotion, Product Configuration, Foundation framework and product listing.
• Worked on teh Microservices for Unit testing, Integration test cases, Status check foundation framework, Status check tdd contracts, Compile, Package, Verify, Quality Scan, Publish Artifact, Deploy to Development and Start Functional Testing.
• Experienced in Blue-Green Deployment Models wifin AWS Cloud Environment.
• Recreating existing application logic and functionality in teh Azure Data Lake, Data Factory, SQL Database and SQL datawarehouse environment.
• Installed and Configured teh Jfrog Mission control and integrated wif different environments of Artifactory instances.
• Used Jenkins to create CI/CD pipeline for Artifactory using teh plugin provided by Jfrog.
• Design and implement database solutions in Azure SQL Data Warehouse, Azure SQL.
• Performed advanced administrative skills from role design to improving architecture to work TEMPeffectively wif teh Salesforce reporting module
• Efficiently handled all Salesforce-related matters, which involved complex reporting and analytics; Apex coding; and Jitterbit data integrations, SFTP drops, and to a wide variety of end points.
• Responsible for performance tuning of PL/SQL packages and SQL queries.
• Worked on to setup for teh various Jenkins CICD pipeline configurations for all teh Microservices.
• Worked on teh build activities for all teh existing Microservices
• Conduct post implementation analysis, review lessons learnt and recommendations for implementing continuous improvement.
• Aligned Azure and Google Cloud Platform capabilities and services wif work load requirements
• Setup Alerting and monitoring using Stackdriver in GCP.
• Created automation and deployment templates for relational and NOSQL databases including MongoDB and Redis.
• Experience migrating infrastructure and application from on premise to Azure and from Cloud to Cloud such as AWS to Microsoft Azure and GCP
• Prepared capacity and architecture plan to create teh Azure Cloud environment to host migrated IaaS VMs and PaaS role instances for refactored applications and databases.
• Responsible for pom, Unit test cases, Sonar dashboard for Selenium Test Cases for all teh Microservices.
• Worked on teh ms's logs and sonar dashboard monitor for all teh existing Microservices.
• RecommendDevOpstools for Continuous Integration, Deployment andDevOpsEnablement.
• Experience to manage teh project lifecycle end to end.
• Moved all Kubernetes container logs, application logs, event logs and cluster logs, activity logs and diagnostic logs into Azure EventHubs and then into Splunk for monitoring.
• Created a SPLUNK search processing Language (SPL) queries, reports and dashboards.
• Improve speed, efficiency and scalability of teh continuous integration environment, automating wherever possible usingPython, Ruby, Shell and PowerShell Scripts.
• Implemented Azure Storage, Azure SQL Azure Services and developing Azure Web role.
• Daily monitoring production servers using Grafana and Prometheus which is integrated wif kubernetes, exceptions and report to teh team if something happen during standups.
• Managing Azure DevOps build and release pipeline. Setting up new repos managing teh permissions for various GIT branches. Deployed microservices, including provisioning AZURE environment.
• Used Make as build orchestration tool, configured targets for teh build artifacts.
• Build Docker images, published artifacts to AWS cloud platform using Jenkins file.
• Written Jenkins file to standardize multiple stages for CI pipeline.
• Have experience working wif Source code management tools like Git, Gerrit.
• Development level experience in Microsoft Azure, ASP.NET, ASP, and C #.NET, Web Services, WCF, ASP.NET Web API, ADO.NET, JavaScript, JQuery, AngularJS, Bootstrap, PowerShell, CSS, HTML, UML and XML.
• Worked on Implementation of Ping Federate for Cross platform Authentication for multiple applications.
• Extract Transform and Load data from Sources Systems to Azure Data Storage services using a combination of Azure Data Factory, T-SQL, Spark SQL and U-SQL Azure Data Lake Analytics . Data Ingestion to one or more Azure Services - (Azure Data Lake, Azure Storage, Azure SQL, Azure DW) and processing teh data in In Azure Databricks.
• Designing new databases and data schemas for teh high-profile customers-facing portal keeping strong attention on data integrity and queries execution efficiency applying knowledge of MariaDB and Azure Databricks.
• Responsible for estimating teh cluster size, monitoring and troubleshooting of teh Spark databricks cluster.
• Extract Transform and Load data from Sources Systems to Azure Data Storage services using a combination of Azure Data Factory, T-SQL, Spark SQL and U-SQL Azure Data Lake Analytics . Data Ingestion to one or more Azure Services - (Azure Data Lake, Azure Storage, Azure SQL, Azure DW) and processing teh data in In Azure Databricks.
• Experience wif Azure transformation projects and Azure architecture decision making Architect and implement ETL and data movement solutions using Azure Data Factory(ADF), SSIS
• Working on Cloud computing using Microsoft Azure wif various BI Technologies and exploring NoSQL options for current back using Azure Cosmos DB (SQL API)
• Extract Transform and Load data from Sources Systems to Azure Data Storage services using a combination of Azure Data Factory, T-SQL, Spark SQL and U-SQL Azure Data Lake Analytics.
• Data Ingestion to one or more Azure Services - (Azure Data Lake, Azure Storage, Azure SQL, Azure DW) and processing teh data in In Azure Databricks.

Environment: AWS, Azure, Angular UI, Microservices,Azure Databricks, Git,Python, Terraform,Gerrit, Jenkins, Make,Bezel, Ping Federate, Docker, VM, Linux. Windows

Confidential, New York, NY

DevOps Engineer / AWS Engineer

Responsibilities:

• Leveraged various AWS solutions likeEC2, S3, IAM, EBS, Elastic Load Balancer (ELB), Security Group, Auto ScalingandRDSin cloud Formation JSON templates
• DefinedAWS Lambdafunctions for making changes to AmazonS3buckets and updatingAmazon DynamoDBtable.
• Created snapshots andAmazon machine images(AMI) of teh instances for backup and createdIdentity Access Management (IAM)policies for delegated administration wifin AWS
• Experience in using Cloud Infrastructure management and ImplementationWorking experience on various Azure services like Compute (Web Roles, Worker Roles), Azure Websites. Caching, SQL Azure, NoSQL, Storage, Network services, Azure Active Directory, Scheduling, Auto Scaling, and Power ShellAutomation.
• Extensive working experience wif different SDLC methodologies such as Agile and Waterfall wif an ability to be creative and to take self-initiatives to execute/manage multiple projects in parallel during time critical situations.
• Deployed AzureIaaS Virtual Machines (VM’s) and PaaS role instance s (Cloud Services) into secure VNets and subnets, designed VNets and Subscriptions to confirm to Azure Network Limits.
• Acted as build and release engineer, deployed teh services by VSTS (Azure DevOps) pipeline. Created and Maintained pipelines to manage teh IAC for all teh applications
• Migrated 9 microservices to Google Cloud Platform from skava and have one more big release planned wif 4 more microservices.
• Deployed Active Directory domain controllers to Microsoft Azure using Azure VPN gateway.
• Setup automated build, test and release platform using TeamCity, Jenkins pipeline as a code, SonarQubeand JFrog Artifactory to be triggered on every code commit.
• Experienced in processing Big data on teh Apache Hadoop framework using MapReduce programs.
• Experience in working wif Windows, UNIX/LINUX platform wif different technologies such as Big Data, SQL, XML, HTML, Core Java, Shell Scripting etc.
• Design Setup maintain Administraor teh Azure SQL Database, Azure Analysis Service, Azure SQL Data warehouse, Azure Data Factory.
• Maintained teh user accounts IAM Roles, Route 53(CNAME), VPC, RDB, MongoDB, SQS & SNS services in AWS cloud.
• Implemented various resources in Azure using Azure portal, PowerShell on Azure Resources Manager deployment models. Experience deploying infrastructure as code applications using ARM Templates (JSON).
• Experience developing low latency SQL queries and stored procedures
• Monitoring various Performance metrics using AppDynamics, Splunk, Windows PerfMon, VMStat, IOStat, etc.
• Very strong in C# as development language, .NET framework concepts and implementation and OOPs concepts
• Strong ASP .NET MVC design and development experience including nUnit
• CreatingPython scriptsto fully automate AWS services which includesELB, Cloud Front Distribution, EC2, Security Groups andS3. dis script creates stacks, single servers and joins web servers to stacks.
• Experience using Big Data technologies including Hadoop stack.
• Amazon IAM service enabled to grant permissions and resources to users. Managed roles and permissions of users wif teh halp of AWS IAM .
• Experience in building and deploying solutions to big data problems wif various technologies
• Developed complex SQL queries and procedures for routine and ad-hoc reporting
• Coordinating wif DevOps/TechOps team in instrumenting various Dashboards & Reports for Performance statistics in AppDynamics & Splunk and diagnosing teh identified Performance issues using AppDynamics and Splunk.
• Experience wif Big Data tools and technologies including working in a Production environment of a Hadoop Project
• Wrote python scripts to manage AWS resources fromAPIcalls usingBOTO SDKalso worked wifAWS CLI.
• UsedAWS Route53, to route teh traffic between different availability zones. Deployed and supported Mem-cache/AWS Elastic Cache and then configuredElastic Load Balancing (ELB)for routing traffic between zones.
• UsedIAMto create new accounts, roles and groups and policies and developed critical modules like generating amazon resource numbers and integration points wifDynamoDB, RDS.
• WroteChefCookbooks to install and configureIIS7, Nginxand maintained legacy bash scripts to configure environments and then converted them toRuby Scripts.
• Involved in Migrating Objects from Teradata to Snowflake
• Configured in setting up CICD pipeline integrating various tool wif CloudBeesJenkins to build and run Terraform script templates to create infrastructure in Azure.
• Heavily involved in testing Snowflake to understand best possible way to use teh cloud resources.
• Designed and implementing Aws Cloud Infrastructure by creating templates for Aws platform also used Terraform to deploy teh infrastructure necessary to create development, test and production environments.
• Worked on Power Shell scripts to automate teh Azure Cloud system in creation of Resource groups, Web Applications, Azure Storage Blobs& Tables, firewall rules and used Python scripts to automate day to day administrative tasks.
• Deployed windows Kubernetes cluster wif Azure Container Service (ACS) from Azure CLI and Utilized Kubernetes and Docker for runtime environment of teh CICD system to build, test and deploy.
• Developed a Terraform plugins using Golang to manage infrastructure which improved teh usability of our storefront service.
• Working wifGITHUBto store teh code and integrated it toAnsible Towerto deploy teh Playbooks.
• Automated various infrastructure activities like Continuous Deployment, Application Server setup, Stack monitoring usingAnsible Playbooksand TEMPhas integrated Ansible wifJenkins.
• Wrote prototype and production code in numerous programming language which depends up on language(s) of existing codebase: Golang/Go, Ruby, MySQL and Python.
• WroteCICD pipelineinGroovy scriptsto enable end to end setup of build & deployment usingJenkins.
• WroteAnsiblePlaybooks using Python SSH as Wrapper for Managing Configurations of my servers, Nodes, Test Playbooks on AWS instances usingPython.

Environment: AWS, Azure, S3, EC2, ELB, IAM, RDS, VPC, SES, SNS, EBS, Cloud Trail, Auto Scaling, Chef, Jenkins, Maven, JIRA, Linux, Java, Kubernetes, Terraform, Docker, AppDynamics, Nagios, ELK, SonarQube, Nexus, JaCoCo, JBOSS, Nginx, PowerShell, Bash, Ruby and Python.

Confidential, Atlanta, GA

DevOps Engineer

Responsibilities:

• Interacted wif client teams to understand client deployment requests.
• Coordinate wif Development, Database Administration, QA, and IT Operations teams to ensure their are no resource conflicts.
• Worked closely wif project management to discuss code/configuration release scope and how to confirm a successful release.
• Created multiplePython, Bash, Shell and Ruby Shell Scriptsfor various application level tasks.
• Build, manage, and continuously improve teh build infrastructure for global software development engineering teams including implementations of build Scripts, continuous integration infrastructure and deployment tools.
• Managing teh code migration from TFS,CVS and star team Subversions repository.
• Configured in setting up CI/CD pipeline integrating various tool wif Cloud Bees Jenkins to build and run Terraform script templates to create infrastructure in Azure.
• Installed and configured SSH server on Red hat/CentOS Linux environments. Managed VMs for Solaris x86 and Linux on VMware ESX 3.5 and administering them wif VI Client.
• Administered teh TFS and VSS Repositories for teh Code check in and checkout for different Branches.
• Provisioned EC2 instances into AWS by using Terraform scripts from scratch to pull images from Docker and performed AWS S3 buckets creation, policies on IAM role-based policies and customizing teh JSON template.
• Implemented continuous integration using Jenkins.
• Automated setting up server infrastructure for theDevOpsservices, usingAnsible,shellandpythonscripts.
• Installed, configured, managed and monitoring tools such asSplunk, Nagios and Graphitefor Resource monitoring, network monitoring, log trace monitoring.
• Using Jira, Confluence as teh project management tools.
• Configured AWS Multi Factor Authentication in IAM to implement 2 step authentication of user's access using Google Authenticator and AWS Virtual MFA .
• Monitored and tracked SPLUNK performance problems, administrations and open tickets wif SPLUNK.
• Have moved all Kubernetes container logs, application logs, event logs and cluster logs, activity logs and diagnostic logs into Azure EventHubs and then into Splunk for monitoring.
• Successfully collaborated wif cross-functional teams in design and development of software features for enterprise satellite networks usingC /C++,leading to senior role in teh organization
• Created repositories according to teh structure required wif branches, tags and trunks.
• Attended sprint planning sessions and daily sprint stand-up-meetings.
• Scheduled different Snowflake jobs using NiFi.
• Configured applications servers (Apache Tomcat) to deploy teh code.
• Setting up SPLUNK monitoring on Linux and windows systems.
• Installation and configuration and setup of Docker container environment.
• Created a Docker Image for a complete stack and created a mechanism via Git workflow to push teh code into teh container, setup reverse proxy to access it.

Environment: Chef, Apache Tomcat, GIT, Python, Ruby, Bamboo, Perl, Shell, Maven, Jenkins, JIRA, Kubernetes, Docker.

Confidential

SAP consultant

Responsibilities:

• Installed SUSE Linux on Cisco Hardware for SAP HANA deployment.
• Experience wif Linux installation, configuration management and patch administration as member of a production support team.
• Strong knowledge of Linux Kernel configuration, performance monitoring, and tuning.
• Good knowledge of LVM, which include creating PVs, VGs, LVs and file systems and trouble shooting.
• Configuration and maintenance of common applications such as NFS, DHCP, NTP, SSH, DNS, and SNMP.
• Strong knowledge of large-scale Linux deployment methodologies, kernel configuration, performance monitoring, and tuning.
• Experience wif SAN/DATA Centre Migration and Consolidation implementations.
• Experienced in Strong Consolidation/Migration in an ENTERPRISE environment.

Environment: s: VMware, Solaris, Kick start, SUSE Linux, LVM, Oracle 10g product, NFS, DHCP, NTP, SSH, DNS, SNMP.