Results-driven Data engineer with 40 months of experience in Big Data, ETL development, and cloud computing. Skilled in building scalable data pipelines using AWS Glue, Redshift, S3, DynamoDB, and Step Functions. Optimized high-volume data processing with Spark, SQL, and PySpark, while automating workflows via CI/CD and AWS Step Functions. Experienced in production deployments, data quality validation.
Skills Languages : Python, SQL, UNIX shell scripting, PySpark
AWS Services : S3, Glue, Redshift, DynamoDB, Step Functions, Cloud Pipelines
Databases : Redshift, Oracle,MySql
Operating Systems : Windows,Linux