I designed and implemented a fully automated CI/CD pipeline to streamline the build, test, and deployment process for over 15+ microservices hosted on Azure Kubernetes Service (AKS). The pipeline was built using Azure DevOps with integrated stages for code compilation, unit testing, container image creation using Docker, vulnerability scanning, and deployment to AKS. I configured YAML-based pipelines to ensure version-controlled workflows and implemented branching strategies to support feature, release, and hotfix workflows. To improve deployment reliability, I set up blue-green deployment strategies, automated rollback mechanisms, and integrated SonarQube for code quality checks. Monitoring and alerting were enabled using Azure Monitor and Application Insights to proactively address failures. This project resulted in: 40% reduction in deployment time by eliminating manual steps Improved release success rate by 30% due to automated testing and rollback strategies Enhanced developer productivity by enabling continuous delivery and reducing downtime This end-to-end pipeline improved release speed, system stability, and operational efficiency for the team.