Data Analyst/Splunk Engineer Resume

SUMMARY

A 20 year IT career has afforded the opportunity to architect, design, deploy, and operate a wide range of information systems and services. With the last 7 years focusing on data mining with Splunk and ElasticSearch, other previous services include 15 years database infrastructure, 14 years advanced messaging (Clustering via - iSCSI, Fibrechannel,etc..), 9 years Virtualization (VMWare, hyper-V), and 17 years infrastructure management, Identity Management, Security analysis and assessment (penetration testing), Active Directory, Exchange, OCS, Red Hat, Splunk, and monitoring/management tools.
Experienced in supporting AWS cloud environment as well as Openstack and Azure.
This work, often in less than ideal conditions, has provided the opportunity to demonstrate technical proficiency and consultative skills at the highest levels.
The Experience and Leadership has proven the presence of qualities required to successfully navigate through almost any situation.

TECHNICAL SKILLS

PROFESSIONAL EXPERIENCE

Confidential

Data Analyst/Splunk Engineer

Responsibilities:

Managed and maintained Splunk environment with high volume ingestion from multiple custom devices and applications. The daily ingestion rate 25Tb to 35Tb a day in logs in Splunk (compressed). This equaled about 50Tb to 60Tb in log rate ingestion before compression.
Managed infrastructure was in the AWS (Amazon Cloud).
Management almost completely managed in GitHub or with Ansible.
Managed Hadoop deployment in AWS cloud using s3 storage and Elastic Map Reduce
Designed kafka caching of the above Splunk Environment
Designed and deployed a ElasticSearch cluster in AWS

Confidential

Splunk Engineer

Responsibilities:

Designed and deployed Elastic, Logstash, and Kibana cluster for Dev, Stage, and production environments consisting of 10 servers for Elastic, 2 for Kibana, and two for Logstash.
Maintain Splunk Enterprise Security Application
Deployment of several of the beats agents for data gathering.
Build of Hadoop cluster for Splunk and ELK data archiving
Design and Implement distributed Splunk monitoring and data mining solution to support dev, DR, and Prod environments.
Deploy monitoring dashboards and multiple alerting models.
Integrated multiple custom platforms to affectively alert and report with Splunk.
Integrated DB Connect with DB2 Systems to actively query and report on data within database and not within Splunk.
Multiple complete system upgrades and platform conversions.
Manage complex Splunk distributed environment with shared storage and clustering. Migrate from 4.X to 5.x to 6.2.2. Implemented indexer clustering and Enterprise Security Manager.
Engineer support for Linux, Splunk, Elk, Hadoop, and SolarWinds LEM
Administer RHEL, CentOS and Operational Maintenance support for postfix, Bind, Oracle, Splunk, JIRA, Confluence, Puppet, Satellite, and custom web components

Confidential

Splunk Engineer

Responsibilities:

Design and Implement distributed Splunk monitoring and data mining solution to support dev, STG, and Prod environments.
Designed and implemented integrated SCOM monitoring solutions for all three environments.
Both solutions included monitoring dashboards and multiple alerting models.
Migrate from Splunk 4.x to Splunk 5.x. Deployed and maintained app-dynamics in Greenfield development environment.

Confidential

IT Engineer-Consultant

Responsibilities:

Provide tier 4 class support (Design, Implement, troubleshoot) for clients across the nation (All Microsoft Technologies, VMware, Cisco, Security, Quest; Domain Migration Manager, Notes Migration Manager, Exchange Migration Manager)
Provide detailed Business assessment and technical documentation for large scale enterprise environments (Design, Assessment, Implementation, Migration, and Audits)

Confidential

Systems Engineer

Responsibilities:

Primary Microsoft Security Engineer for Confidential Agencies’ Joint National Integration Center
Engineer and maintain Active Directory, Exchange, SQL, ISA, and all other Microsoft solutions
Test and engineer new solutions for enterprise level applications (Geographical)