Versatile and results-driven Data Engineer with over 5+ years of experience in architecting, developing, and optimizing end-to-end data solutions. Skilled in building scalable batch and streaming data pipelines using AWS tools such as Glue, Lambda, Step Function, Event Bridge, Lake Formation, Athena, Redshift, and S3 for efficient data ingestion, transformation, and storage. Proficient in leveraging open table formats like Apache Iceberg on S3 and HDFS to enable scalable and performant data lakes. Expertise in Spark SQL, PySpark, Kafka, Hive, and Airflow to orchestrate robust workflows. Hands-on experience in data warehousing solutions with technologies like Snowflake and Redshift. Proven ability to design modern data architectures that ensure data quality, cost efficiency, and scalability in both cloud and hybrid environments.