Summary
Pavan Madineni is a data engineer with a decade of experience building scalable data pipelines and production ML systems across finance, oilfield services, and consumer tech. He currently integrates and consolidates loss data at Capital One using Airflow, and previously delivered high-impact telemetry and feedback systems at Amazon that processed millions of customer interactions. His background spans hands-on ML (custom YOLOv5 models for rig monitoring), backend integrations, and end-to-end ownership from requirements to privacy/security reviews. Pavan pairs an MS in Data Science and an Executive MBA in IT Project Management with practical ETL, SQL, and infrastructure expertise, enabling him to translate complex stakeholder needs into reliable data products. He’s based in Cypress, Texas, and brings an unusual blend of field-facing sensor work and large-scale consumer platform experience to data engineering challenges.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering - BE Mechanical Engineering, Bachelor of Engineering - BE Mechanical Engineering at Osmania University
Master of Science - MS Data Science, Master of Science - MS Data Science at Indiana University Bloomington
Executive MBA Information Technology Project Management, Executive MBA Information Technology Project Management at Ottawa University