I've spent 8 years in the data domain, building data pipelines, ETL workflows, and data warehouse solutions across Mass Mutual India and Infosys.
At Mass Mutual India, I develop pipelines that ingest and transform data from multiple sources using Apache Spark and PySpark. I work with Vertica, SQL, Hive, HDFS, Sqoop, Airflow, AWS EMR, and S3 to support downstream processing.
I collaborate with teams to fine-tune Spark jobs, troubleshoot errors, schedule workflows through Airflow, and optimize performance. My work covers ingestion, storage, querying, processing, analysis, root-cause analysis, and complex SQL development.
Previously at Infosys, I extracted and loaded data across flat files and relational tables, implemented slowly changing dimensions, and automated mappings through Maestro, Informatica workflows, and TWS. I've been recognized with Infosys Insta and DNA Star awards, as well as Mass Mutual India's Alpha Player of the Year 2023 award.
