Vamsi Polina

Data Engineer @eBay

US

At eBay, I work as a Data Engineer, where I build and optimize scalable ETL pipelines using Python and SQL to process over 50M rows of user and transaction data, reducing pipeline latency by 40%. I integrate data from 10+ disparate sources into BigQuery and automate workflows using Airflow, improving data availability for analysts and stakeholders by 35%. In collaboration with DevOps and Data Science teams, I deploy batch pipelines on AWS that support real-time product analytics and insights. I led the re-architecture of a legacy ingestion framework, reducing data failure rates by 25% and streamlining data validation processes. I also developed reusable dbt models for dimensional modeling, enabling accurate and timely reporting across marketing and finance teams. By implementing unit tests and CI/CD checks, I improved deployment stability by 30% and enhanced overall data pipeline reliability in production.

St. Francis College

Master of Library & Information Science - MLIS