12-15 Years of Data and Analytics experience with minimum 6 years in AWS Data Cloud Native Services Excellent communication and presentation skills. Extensive experience in AWS stack – S3, Glue, EMR. Redshift, DynamoDB, Kinesis, Lambda, Athena etc. Experience in job scheduling using Oozie or Airflow or any other ETL scheduler Analyze, re-architect and re-platform on-premise data warehouses to data platforms on AWS cloud using native or 3rd party services. Design and build production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala. Good experience in designing & delivering data analytics solutions using AWS Cloud native services. Good experience in Requirements Analysis and Solution Architecture Design, Data modelling, ETL, data integration and data migration design