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Kshitij Chavhan

@kshitijchavhan

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I build enterprise-scale data platforms, ETL pipelines, and Palantir Foundry automation.

India

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What I'm looking for

I'm looking to build scalable, production-ready data platforms and pipelines, with opportunities to improve data quality, governance, automation, and enterprise analytics using Python, PySpark, SQL, and Palantir Foundry.

At Lear Corporation, I modernized warranty analytics supporting 22+ global OEM programs, including Ford and Mercedes, through scalable ETL/ELT pipelines, optimized data models, and reliable analytics solutions. I also built PySpark pipelines for end-to-end warranty component traceability and governance automation processing 2.1M+ records in Palantir Foundry.

I've orchestrated distributed pipelines with PySpark, Databricks, Apache Airflow, Hadoop, and Hive at CDAC, and built projects spanning Kafka-based price forecasting and OCR-powered semantic search. I focus on data quality, lineage, access governance, performance optimization, and production-ready platforms.

Experience

Work history, roles, and key accomplishments

Data Engineer & Palantir Foundry Developer

Lear Corporation

Jun 2025 - Jun 2026 (1 year)

Modernized an enterprise warranty analytics platform supporting 22+ global OEM programs by designing scalable ETL/ELT pipelines and optimizing data models. Developed automated PySpark-based pipelines for part return teardown traceability and co-developed enterprise governance automation in Palantir Foundry.