Azure Devops Engineer
Current• Creating Managed and maintained infrastructure as code using IAAS, PAAS & SAAS services in Azure working with Agile methodologies and Scrum Process.• Configure the Azure DevOps projects, and Repositories, Build & Release pipelines, and Automate the Build, Test, and deployment of code. Troubleshoot Based on Monitoring Logs and Metrics.• Experienced in using Kubernetes for managing micro services, Checking Key-Values, Restarting the services, Scale-Up & Scale-Down, Rolling Update, Canary Deployment, Blue Green Deployment to maintain Zero Down Time.• Brief Knowledge & Know the work process of Kubernetes Architecture, Cluster, Worker Node, Master Node, KUBE API, ETCD (Key Values), Controller Manager, Kube-Scheduler, Kubelet, Kube Proxy, Container Run Time (Docker), POD.• Developed Docker Images and Docker Files for containerized applications.• Worked with Maven for building and packaging of application and Stored in Azure Artifactory (JAR File).• Sonar-Qube for code quality analysis and continuous inspection of code and quality control.• Troubleshooting and resolving Build Failed, Deployment Failed issues with Azure resources.• Deployed and managed clusters, Clone of Cluster, Jar and Job using Azure Data Bricks.• Set up and configuration Build and Release pipelines for continuous integration and deployment through CICD Pipeline.• Developed and maintained scripts for infrastructure automation and deployment using Terraform.• Managed and Implemented GIT repositories, GIT Pull Request, GIT Branching, GIT workflows, GIT Merge, and GIT Conflict.• Deployed Data DDL, DML, SCHEMA, and NOTEBOOK, SQL Deployment, NO-SQL Deployment and managed data pipelines using Azure DataFactory and Azure DataBricks for data integration and ETL processes.• Collaborated and Communication with cross-functional teams to closely work with Multifunctional Team, Stakeholder and Project Management, Using Agile Core Process and Scrum.