Open to opportunities

Vinodh Kumar Chimpiri

@vinodhkumarchimpiri

Message

I build scalable cloud data pipelines for analytics, governance, and machine learning.

United States

Message

What I'm looking for

I'm looking to build scalable, governed cloud data platforms that support analytics and AI/ML use cases, with opportunities to improve pipeline performance, automate delivery, and collaborate closely with product, compliance, and data teams.

At CVS Health, I build Azure Data Factory and Databricks pipelines for pharmacy claims, EHR, and patient-level data, reducing pipeline runtime by 35% while supporting HIPAA-compliant analytics. I also provision feature stores and training datasets for readmission-risk and chronic-care analytics.

Previously, I delivered AWS data pipelines for Morgan Stanley’s trade, risk, and portfolio datasets, improving batch throughput by 40%, and built reporting, data quality, and BI solutions across Wipro and TATA AIA Life Insurance. I work across Azure, AWS, PySpark, SQL, Delta Lake, governance, and infrastructure automation to make data reliable and usable.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

CVS Health

May 2024 - Present (2 years 3 months)

Designed and implemented scalable ETL pipelines in Azure Data Factory to ingest and transform large volumes of pharmacy claims, EHR, and patient-level datasets. Built modular PySpark notebooks in Azure Databricks for curated data models across bronze, silver, and gold Delta Lake layers, and optimized pipeline performance reducing runtime by 35%.