Sai Shreyashwi A.

About Sai Shreyashwi A.

I build and operate batch and streaming data pipelines using Databricks, Apache Spark (Structured Streaming), Python, and SQL on Azure. I focus on keeping data pipelines reliable, performant, and easy to operate in production.In my work, I’ve owned pipelines processing millions of records weekly, reduced end-to-end latency by optimizing Spark SQL workloads, and improved downstream analytics by refining gold-layer transformations and data validation logic. I design modular data pipelines with an emphasis on scalability and operational reliability.

Experience

1. Data Engineer

   UPS Supply Chain Solutions

   May 2025 — Present · Alpharetta, GA, US

   As a Data Engineer, I build and operate batch and streaming data pipelines on Databricks using Apache Spark, Python, and SQL on Azure. My work focuses on pipeline reliability, performance, and delivering analytics-ready data in production environments.• Owned end-to-end batch and streaming data pipelines supporting a revenue-critical analytics domain• Reduced end-to-end pipeline latency by 50%(20 min → 10 min) through Spark performance tuning, partition optimization, and transformation refactoring• Built Spark Structured Streaming pipelines with schema evolution, late-arriving data handling, and data validation• Standardized silver-to-gold medallion-layer transformations to improve data quality and downstream analytics reliability• Improved query performance and data freshness for datasets processing millions of records weekly• Partnered with analytics and platform teams to deliver curated data models for reporting and decision-making

Education

• BVRIT Hyderabad

  Bachelor of Technology - BTech, Computer Science and Engineering

• The University of Texas at Arlington

  Master of Science - MS, Computer Science