Understand and Implement CI/CD Pipelines. Gain a comprehensive understanding of Continuous Integration (CI) and Continuous Deployment (CD) methodologies, and tools such as Jenkins, Github, CloudFormation.  Monitoring and understanding Cloud native services. Learn how to develop scripts using AWS Lambda, Python to monitor and control cost for the cloud native services (e.g., compute instances (AWS EC2), database services [RedShift, Athena, Arura], Data processing engines [EMR, AWS DMS, HUDI] ). Exposure Data Integration Techniques: Work with Data Engineers and Solution Architects to gain knowledge about ETL processes (Extract, Transform, Load) and learn how to apply Devops for ETL pipeline.  Exposure to ML Engineering and Advance Analytics Tools: Gain exposure to advanced data analytics techniques and understand how to leverage cloud-based machine learning services (e.g., Amazon SageMaker, Lamda, AWS Glue) to deploy Data Science model.