Summary
Yang Tian is a Senior Data Engineer with eight years of hands-on experience designing and operating ETL pipelines and analytics platforms across AWS and Databricks ecosystems. Currently at Tencent Americas, he previously led analytics engineering at Earnin where he built compliance-focused ETL, an in-house A/B testing platform, and an anomaly detection bot that improved business decisioning. He combines strong Python engineering (Airflow, Django) with practical data product delivery—supporting finance, marketing, and product teams end-to-end. Trained with an MS in Data Analytics and a prior MS in Environmental Engineering, he brings a quantitative, systems-oriented mindset to messy real-world data problems. Colleagues rely on him for reliable pipeline automation and pragmatic experimentation infrastructure that turns metrics into action.
8 years of coding experience
6 years of employment as a software developer
Master of Science (M.S.) Environmental Engineering, Master of Science (M.S.) Environmental Engineering at Northeastern University
Master of Science (MS) Data Analytics, Master of Science (MS) Data Analytics at Fordham University
English, Chinese, Chinese