Experienced DevOps Engineer with 5.5 years of experience. Successfully worked on web-based applications and standalone projects.
Expertise in automating build workflows using ANT, Maven Shell, and CI tools.
Well-versed in SCM tools like GIT and SVN, with a deep understanding of SCM concepts including branching, merging, check-in/out, labeling, tagging, and releases.
Efficiently handled build and release processes, SCM, and automation for multiple projects.
Leveraged Jenkins to configure daily builds, ensure code coverage, and automate test cases.
Accelerated application delivery using Tomcat Application server for enhanced productivity, reliability, security, and control.
Responsibilities included delivering daily/nightly builds for scrum teams, supporting teams with SCM requests, maintaining code stability using CI methodologies, performing code merging and deployments, and troubleshooting day-to-day issues.
Created and managed a Docker deployment pipeline for custom application images in the cloud using Jenkins.
Utilized Docker containers to eliminate friction between development and operations.
Hands-on experience in AWS Cloud services with components like EC2, ELB, S3, VPC, Auto Scaling, and IAM.
Strong Unix/Linux Administration skills and ability to work collaboratively within a team environment.
Proficient in building jobs and releasing them using Azure DevOps.
Automated cloud infrastructure using Terraform to streamline operations effectively.
➔ The Anaplan Connect API Client provides a command-line interface that enables the Anaplan administrator to automate Anaplan imports, exports, and other actions, our main purpose of using this to send data from postgre Consumption layer to Anaplan.
➔ Creating Stream sets pipeline to fetch data from source to Postgres ingestion layer.
➔ Automating the Stream sets Jobs and Pipelines using Python .
➔ Deploying the Pipelines and Jobs in Production Environment and monitoring those Jobs.
➔ Building the Jobs and Releasing those jobs using Azure DevOps .
➔ Creating the Pipelines to Deploy the code into respective environment.
➔ We will use Build pipeline for Continuous Integration and Release pipeline for Continuous Deployment purpose.
➔ Build pipeline fetch the code from GitHub Repository and generate the ARM Template that will be used for Deployment.
➔ Release pipeline will deploy the pipeline in the environment which we have mentioned.
Linux
AZ-900
AZ-900