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Skills

  • Amazon
  • API
  • Cloud Computing
  • Data Extraction
  • Go Programming
  • Java
  • JavaScript
  • JSON
  • Linux
  • Management
  • Microsoft
  • Microsoft Azure
  • Open Source
  • Python
  • SQL

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Services

  • Devops Engineer

    $25/hr Starting at $50 Ongoing

    Dedicated Resource

    Operating Systems :    Windows, Linux Databases                  :    MySQL, SQL and Oracle 10g Build Tools                :    ANT, Maven, Gradle Version Tools           :    Subversion, GIT and Bitbucket...

    AmazonAPICloud ComputingData ExtractionGo Programming

About

Out Sourced works

Operating Systems : Windows, Linux
Databases : MySQL, SQL and Oracle 10g
Build Tools : ANT, Maven, Gradle
Version Tools : Subversion, GIT and Bitbucket
Bug Tracking Tool : Atlassian JIRA , Service now
Programming : Shell scripting, Power shall
Web Servers : Apache Tomcat, IIS
Application Server : Tomcat, Web Sphere
Cloud technology : Amazon Web Services,EC2,S3,VPC, Azure
Devops Tools : Jenkins, Ansible, Sonarqube,
Nexus, Appdynamic, Junit, Azure, docker ,kubernities





As a DevOps lead responsible for defining the workflow process for micro service based application Code movement from Dev to Prod.
Designed and maintained code repository branches in GITHUB.
Responsible for Code merging using GITHUB pull requests and Conflict resolutions.Defined the approval process for higher level environments UAT and PROD through the Library Control System.
Responsible for Code audit approvals SIT to UAT, UAT to PROD as a library control team.
Used Jenkins pipelines to build the Docker image creation and tagging with the Jenkins build number and date.
Monitoring and troubleshooting the containers specific issues across the environments.
Worked with different teams to setup the different environments Dev, RT,SIT,AIG-TEST, UAT and PROD.
Containers setup using Docker. Involved in writing the docker files to build images and deployed the containers to the different environments.
Deployed the docker container images to the Kubernetes cluster and automated the deployment using the kubectl utility.
Worked on service creation for containers on Kubernetes.
Coordinated with dev teams and BA teams to perform the pull requests across different branches and builds schedule to the environments.
Automated the DB deployments and support activities.
Manage and configure AWS services as per the business needs (ELB, SES, EC2, Route53, S3, Cloud Watch

Work Terms

Daily in Hours