• Working as AWS Data Engineer• Have good Hands-on experience working with AWS services like Identity Access Management, Cloudformation , s3, Glue, Lambda, CodePipeline, API Gateway, Cloudwatch, Kinesis, SQS, Athena, Aurora DB.• Have created several AWS resources like, AWS Secrets, IAM & Service Roles, Glue jobs, Lambda functions, RDS, Connections, Crawlers, Athena tables, Appflows, Kinesis etc using AWS CloudFormation template written in YAML format.• Utilized AWS CI/CD Code Pipeline for automatic deployment of the complete code on Cloud Platform and GitHub as code repository.• Developed/modified data pipelines which transfers the data (.json/.csv ) between two systems by filtering, applying business transformation rules and converting data into destination system's readable formats( parquet ) using Python, PySpark and Boto3 module.• Created and deployed Apache Airflow DAGs using Putty & WinSCP to schedule the jobs.• Experience in using VsCode, GitHub as version code tool, Jira, Microsoft Office for project management and to follow Agile methodologies.• Used ServiceNow to track and work on change requests, service requests and incidents within the defined SLA ensuring compliance to quality standards.•Mentored trainnes on various AWS Services and project related activities.