Nachiket Tare

Data Engineer with 2+ years experience in building and optimizing scalable PySpark-based ETL pipelines on Databricks and AWS, delivering reliable data solutions for healthcare analytics. Proven track record of owning end-to-end data workflows, improving performance, and reducing costs through efficient data engineering practices. Skilled in translating complex business requirements into actionable insights and supporting data-driven decision-making in Agile environments.

Data Engineering Consultant (Pre bono) at Aakar Computers (2026-05 – Present)

• Designed a layered data pipeline (raw → curated → reporting) for a regional bank (~50-60K customers), right-sized from enterprise-scale lakehouse principles to fit the institution's data volume and budget.
• Built SQL-based reporting logic for core banking KPIs — NPA tracking, FD maturity, dormant account identification — via staged schema design (raw → validated → reporting).
• Evaluated architecture trade-offs for a small-scale institution, recommending a normalized PostgreSQL schema over a distributed lakehouse for cost and operational simplicity.

Data Engineer at ZS Associates (2024-06 – 2026-04)

• Engineered and validated distributed PySpark data pipelines and implemented data quality monitoring rules and flagged anomalies across pipeline stages for a client-facing Power BI reporting platform, processing healthcare datasets (account sales, activity and payer data) to ensure data accuracy and pipeline reliability.
• Built and maintained ETL workflows for a reporting-based application, translating complex business rules into scalable, maintainable transformation logic.
• Conducted data analysis on healthcare datasets to surface actionable trends, and delivered findings and documentation to business stakeholders to support decision-making.
• Worked under Waterfall and Agile methodologies and successfully completed deliverables

B.E in ECE Branch – Rajiv Gandhi institute of technology (2019 – 2023)

12th – Viva College of Science (2018 – 2019)

10th – Utkarsha Vidyalaya (2016 – 2017)