Key Responsibilities · Design, develop, and maintain ETL pipelines using AWS Glue, Glue Studio, and Glue Catalog. · Ingest, transform, and load large datasets from structured and unstructured sources into AWS data lakes/warehouses. · Work with S3, Redshift, Athena, Lambda, and Step Functions for data storage, query, and orchestration. · Build and optimize PySpark/Scala scripts within AWS Glue for complex transformations. · Implement data quality checks, lineage, and monitoring across pipelines.…