aishwaryaravi

About Me:

Data Engineer with 3+ years of experience at McKinsey & Company specializing in building scalable enterprise data platforms, distributed systems, and production-grade ETL/ELT pipelines. My technical stack centers on PySpark, Apache Spark, Delta Lake, Azure Databricks, SQL, Python, and Apache Airflow. I focus on designing configuration-driven medallion lakehouse architectures, optimizing query performance and cluster costs, automating data validation frameworks, and managing Unity Catalog migrations. 

What I’m Looking For:

I am actively targeting Data Engineer / Data Platform Engineer roles where I can leverage my background in distributed data processing, automated ingestion pipelines, and Lakehouse architectures. I am looking for high-scale platform engineering opportunities to design resilient, production-ready data systems, dimensional data models, and automated orchestration workflows. Open to global remote and hybrid opportunities.