SUMMARY

• Experience IT professional with over 5 years of professional experience optimizing systems, supporting infrastructure, monitoring, and improving performance / efficiency.
• Highly proficient in working with Infrastructure components, Azure/AWS DevOps, and application testing.
• Hands - on experience in using DevOps tools such as Jenkins, Maven, Docker, Kubernetes, Ansible, Splunk, and CI/CD pipelines.
• Automated infrastructure provisioning on AWS using Terraform and Ansible
• Developed Docker-based microservices deployment with Kubernetes, Jenkins, and Ansible-based pipelines/frameworks.
• Wrote Ansible playbooks for code deployment and configuration management and using Linux
• Performed releases with the Maven release plugin, and manage artifacts.
• Set up Jenkins master, added the necessary plugins, added more slaves to support scalability and agility
• Set up data Wearhouse, integrate data bricks, data factory, data lakes, and Database SQL
• Processed, and transformed massive quantities of data, exploring the data through machine learning models (structured data), Python, Scala, SQL, AWS Lambda and RDS, Azure DevOps CI/CD Pipeline
• Created python API running on Oracle DB, created AWS Lambda functions to host API
• Set up CI/CD pipelines for Microservices & integrated tools such as Jenkins, Maven, Bitbucket, SonarQube, Nexus, Docker, and Slack for providing immediate feedback to DEV teams after code check-in
• Used Terraform to manage AWS application and Azure DevOps CICD pipeline
• Worked on Splunk for monitoring, searching, analyzing, and visualizing the machine-generated data in real-time
• Worked on Azure DevOps CI/CD Pipeline with integrating code using Azure Cloud endpoint

Areas Of Expertise

• Cloud platforms, AWS (CLII)AWS CLI $ AWS Monitoring using CloudWatch, Microsoft Azure pipeline & Azure Data Wearhouse, {PCF}Pivotal Cloud Foundry
• Framework/DevOps tools, Maven, J, SonarQube, Nexus, Jenkins, Slack, RedHat
• Azure DevOps CI/CD Pipeline, VMware, Centos S, Git, GitHub, Bitbucket, GitLab
• Puppet, Ansible, Terraform, RedHat Centos S, VMware, Docker to manage instances
• Containers, Terraform, Infrastructure as Code, Terraform Variables
• Terraform Models, Application/Web Servers, Tomcat
• Apache, Red Hat Linux, Windows
• Oracle, SQL Server, MySQL, Postgres AWS LAMBDA, RDS,
• Selenium / Nagios / AWS CloudWatch, Groovy, UNIX Git Bash Putty Python
• JSON, Chef Puppet, Ansible, DevOps Security

TECHNICAL SKILLS

• AWS
• JavaScript
• CICD Pipelines
• Jenkins
• Maven
• Site Reliability
• Cloud Engineering
• Terraform
• GIT
• Ansible
• Azure
• Python
• Shell
• Bash

PROFESSIONAL EXPERIENCE

Site Reliability Engineer/ Sr. AWS DevOps Engineer

Confidential, Dallas, TX

Responsibilities:

• Performed change management functions involving software deployment and server maintenance requests
• Coordinated and planned changes with other technology teams involving servers within our environment
• Responded to and mitigated incidents as they occur within the environment
• Contributed details to the post-incident review process
• Communicated and escalated customer impacting issues according to department guidelines
• Represented operations in a technical fashion to leadership and development teams
• Led projects, and engagements that evolve the stability, scalability, & supportability of the Cobalt Services environment
• Partnered with development, and other operations teams to continue evolving our monitoring & operational procedures for the Cobalt Services architecture
• Ensured service requests are completed and assigned with the appropriate priority within the operations teams
• Updated support documentation as needed as environment changes occur
• Developed and wrote Shell scripts, Bash scripts, Python & PowerShell for setting up baselines, branching, merging, and automation processes across the environments using SCM tools like GIT
• Created python API running on Oracle DB, created AWS Lambda functions to host API
• Deployed API into Lambda using Jenkins, managed one pipeline with Bogiefile workflow, system, process, and procedure improvements within team and department
• Recommend Seek opportunities to participate in special projects/special project teams
• Set up day-to-day patching to drain servers & US Prod database patching and apply patch database
• Wrote Ansible playbooks for code deployment and configuration management and using Linux
• Set up all servers on maintenance, used Jenkins tools on below functions on searching begin maintenance and end maintenance on all applications
• Used Jenkins to rebuild release code, used UberGUI to enable and disable all drain servers
• Used Jenkins tools for the smoke test
• Used perfsat tools for sites scopes & all, built and maintained ending sites to confirm all apps in save mode and perfect working conditions
• Virtualized the servers using Docker for the test environments and dev-environments needs and configuration automation using Docker containers.
• Used Jenkins tools to start all applications and stopped applications when necessary
• Used GOTMON GUI to manage all Linux and Windows servers
• Used AWS Cloud for Cloud tools, set up CYBER ARK, and set up IAC for the new release
• Used ServiceNow for access requests, managed all tasks, and closing tasks when done
• Worked with prism client hosting environment status
• Used Datadog to monitor the environment
• Worked with Cobalt service on alert rules to monitor all alerts Appmon and app TimmingGUI
• Used CMDB tools to manage the applications coherence, servers, layouts, and server profiles and deployed with the release set
• Performed day-to-day activities on PROD, QED deployment also maintained and monitored
• Worked on CSS-CM Cloud collaboration
• Worked day to day Database Migrations

DevOps/AWS Cloud Engineer

Confidential, Austin, TX

Responsibilities:

• Was an integral part of members DevOps practice team
• Main responsibility was to migrate the legacy applications to PCF and Azure DevOps cloud using DevOps tools like GitHub, Jenkins, Maven, Nexus, Docker, SonarQube, & Slack while using Splunk for setting up the Data Wearhouse
• Set up CICD using Gitlab build and deploy on PCF Cloud
• Perform rollback deployment using Ansible Tower
• Used Splunk on below functions on searching index and data
• Worked on aggregate functions, event functions, date / time functions, comparison, and conditional functions
• Set up Splunk, ELK Elastic Logstash, and Kibana deployed on PCF Cloud
• Worked on IaaS, PaaS, SaaS, IAAC infrastructure terraform, and orchestration automation
• Used Kibana to search for data on elastic index
• Built a Docker container to manage Instances for developers
• Built multiple containers to instances to resolve developer problems
• Set up data Wearhouse, integrate data bricks, data factory, data lakes, and Database SQL
• Processed, and transformed massive quantities of data, exploring the data through machine learning models (structured data), Python, Scala, SQL, AWS Lambda and RDS, Azure DevOps CI/CD Pipeline
• Integrated code using Azure Cloud Endpoint Terraform to manage infrastructure by using terraform import
• Created an access key, a secret key to integrate Terraform and AWS together
• Set up a provider tf
• Used ServiceNow setting up incidents such as change requests resolving incidents, receiving email communications, performing changes, requesting task
• Created onboarding on ServiceNow, created tables, users, groups, and roles

DevOps Engineer

Confidential, Chicago, IL

Responsibilities:

• Was part of five members of the DevOps practice team
• Set up Git repositories and SSH Keys for Agile teams
• Set up ELK Elastic Logstash and Kibana
• Deployed on AWS Cloud on 5G endpoint servers
• Used Splunk to search through machine data on servers was like exploring a deep dark cave
• Worked on Splunk for monitoring, searching, analyzing, and visualizing the machine-generated data in real-time
• Used Terraform to manage AWS application and Azure DevOps CICD pipeline
• Worked on input variables in terraform and terraform module to reuse configuration files with changing codes
• Built a Docker container to manage instances for developers
• Built multiple containers to instances to resolve developer problems
• Set up Jenkins master, added the necessary plugins, added more slaves to support scalability and agility
• Worked on Azure DevOps CI/CD Pipeline with integrating code using Azure Cloud endpoint
• Worked on DevOps security, Static Application Security Testing (SAST) using SonarQube Plugins
• Verified 3rd party component
• Used Dynamic Application Security Testing (DAST) and ZAD Zed attack policy
• Scanned for credentials and secrets infrastructure
• Set up CICD with Azure on prem and Azure Data Wearhouse
• Set up AWS VPC, AWS CLI $, AWS monitoring using CloudWatch
• Used Terraform to setup IAM, VPC, EC2nS3 Using provider tf
• Public VPC private VPC -internet gateway -rout table - subnet - for framework security in the Cloud
• Set up CI/CD pipelines for Microservices & integrated tools such as Jenkins, Maven, Bitbucket, SonarQube, Nexus, Docker, and Slack for providing immediate feedback to DEV teams after code check-in
• Setup slack plug-ins and notifications in Jenkins pipelines for collaboration
• Created Docker file, automated Docker image creation using Jenkins and Docker
• Automated infrastructure provisioning on AWS using Terraform and Ansible
• Developed Docker-based microservices deployment with Kubernetes, Jenkins, and Ansible-based pipelines/frameworks.
• Created nightly builds with integration to code quality tools such as SonarQube, Veracode
• Created quality gates in SonarQube dashboard and enforced in the pipelines to fail the builds when conditions were not met
• Converted Java projects into Maven projects by creating a POM file and ensuring all the dependencies are built
• Worked on integrating GIT into the Continuous Integration (CI) environment along with Jenkins.
• Managed and mentored both onsite/offshore team
• Enforced Test Driven development for the DEV teams for every sprint

Linux Systems Administrator/AWS DevOps Engineer

Confidential, Irving, TX

Responsibilities:

• Provided user technical support for application and operating system software
• Responsible and reliable team player with a set of strong technical skills
• Launched Amazon EC2 Cloud Instances using Amazon Web Services (Linux/) and configured instances with respect to specific applications
• Implemented AWS Trusted Advisor to provision resources, improved performance, reliability, and security issues

Confidential, Dallas, TX

Responsibilities:

• Responsible for site pre-staging (T1 wiring & troubleshoot) before the new network integration (migration), the integration itself, the troubleshooting, and alarm clearing after the integration
• Completed tasks such as call testing, swapped sector test, commissioned GSM, CDMA, 4G, 2.5LTE, RRU, Microwave, and site router
• Commissioned of eNBs, grow eNBs, and BTS, & upgraded FW
• Performed releases with the Maven release plugin, and managed artifacts.
• Coordinated with field engineer for call tests
• Provided tier 1 support on RAN and core equipment
• Coordinated with customer, confirmed site firmware and data loads
• Contributed to a daily activity report and support troubleshooting activities as required
• Troubleshot and resolved issues with BTS cell site equipment during commissioning
• Moved RETs to other BTS using the BTS manager
• Shut down the site before commissioning and bring the site back up after commissioning
• Assisted field tech in the commissioning process
• Assisted field tech in clearing external alarms on site

Confidential, Irving, TX

Responsibilities:

• Provided project technical support for troubleshooting, resolving issues, escalations from the project, support performance, and optimization issue troubleshooting with regards to KPIs
• Provided system-level knowledge in supporting Confidential Siemens Networks Radio access 3G & 4G platform products.
• Worked on T1 verification testing, developed and MOP on 2G/3G/LTE project competence, process, documents for deployment
• Focused on switching CDMA and wireless networks operations
• Determined whether problems were due to connectivity or if they were higher layer problems

Field Technician

Confidential

Responsibilities:

• Communicated, utilized Q-Scopes to convert T1 lines to fiber, added carrier channels, and assessed ATP testing
• Assisted, diagnosed, resolution of problems with VSWR, RSSI, TX, and RX.
• Collaborated with Confidential personnel to deploy, and activate sites, & provided technical
• Performed S3 buckets creation, policies, and also on the IAM role based polices
• Created and managed the security groups to provide security for the EC2 instances
• Reduced monthly Infrastructure running cost by subscribing reserved instances for always running AWS servers
• Experience on TCP, TCPIP, DHCP, DNS Server. Bash Scripting, Shell Scripting