Data Engineer

• Build and optimize data pipelines (ETL/ELT) for large-scale datasets using AWS Glue, Spark, Redshift, and EMR

• Hands-on experience with the AWS data stack : Athena, QuickSight, S3, Aurora DB, Airflow, Step Functions

• Proficiency in Python for data transformation and pipeline development