Leveraged AWS services, including S3, EC2, AuroraDB, and Lambda, to effectively manage and test applications in a cloud environment.Automated ETL testing triggers using Python and Boto3, reducing manual tracking by 45 min per job and enhancing process efficiency.Implemented a major feature in the existing automation suite, eliminating manual effort in heterogeneous data validation, which improved accuracy and reduced testing time.Consolidated and streamlined the regression suite for both homogenous and heterogeneous data validation, cutting regression testing time significantly and ensuring data consistency.Enabled containerized execution of the automation suite via dedicated CI/CD pipelines, enhancing portability across environments (DEV, SYS) and increasing testing flexibility.Developed and automated pipelines using RedHat OpenShift, enabling cross-team collaboration and reducing manual overhead in deployment and testing processes.Collaborated with cross-functional teams to resolve integration issues, ensuring seamless software delivery and robust functionality.Contributed to continuous improvement by optimizing testing methodologies and tools, driving efficiency across the QA process.