Ashwin Nair

Background

About Ashwin Nair

I’m a Data Engineer with 4+ years of experience at Optum (UHG), specializing in cloud-native modernization, large-scale data migration, and performance optimization. My expertise spans Azure Databricks, Snowflake, Snowpark, PySpark, and Kafka, where I’ve led the transformation of 200+ legacy pipelines into scalable, automated cloud solutions.Highlights of my work include:Delivering performance gains by re-engineering ETL workflows with Snowpark and Databricks.Building automation frameworks that eliminated 40+ hours of manual work per quarter.Designing Python libraries that accelerated migration velocity by 30%, simplifying integration across cloud and on-prem systems.Resolving critical production issues and modernizing undocumented legacy systems, reducing technical debt and improving reliability.Beyond engineering, I’ve developed AI-driven solutions, including a medical question-answering system using RAG + GPT-4 with vector databases, showcasing my ability to bridge data engineering with applied machine learning.Certified in SnowPro Core and Microsoft Azure Fundamentals, I thrive at the intersection of data engineering, AI innovation, and scalable architecture design.