Rekha Kumbharkar

I’m a results-driven Data Engineer with a background in Computer Engineering, focused on designing, building, and optimizing ETL/ELT pipelines for big data analytics. I turn raw data into reliable, analytics-ready datasets using production-grade practices.

Since June 2023, I’ve delivered lakehouse-based pipelines on Databricks using Apache Spark, PySpark, SQL, and Delta Lake. I implemented Medallion Architecture (Bronze, Silver, Gold) to support reliable ingestion, transformation, and data warehousing-aligned analytics.

I build scalable ingestion frameworks from AWS S3 and relational databases, emphasizing fault tolerance and large-scale processing. I’ve automated job orchestration, scheduling, and monitoring—reducing manual operational effort by 70%—while improving observability through dashboards and alerts.

I also strengthen downstream trust with data quality, validation, de-duplication, and consistency checks, achieving 99% data accuracy for reporting. From governance to performance, I manage access using AWS IAM roles and Secrets Manager, and optimize Spark/Databricks runtime with partitioning, caching, and transformation logic.