Strong hands-on experience in AWS Data Engineering - S3, Lambda, Athena, S3, API Gateway, CloudFront, ECS and Glue
Solid understanding of data modeling, partitioning strategies, and performance tuning in large datasets
Familiarity with tools like CloudFormation for infrastructure automation
Proficiency in Python and SQL
Strong in SQL, Datawarehousing, Data Modelling
Awareness of latest datalake architectures (Iceberg, S3 tables, duckdb)
Knowledge of serviceability domain use cases such as diagnostics, telemetry, and predictive service operations is a plus