Summary
Hao Jiang is a data-focused software engineer with eight years of experience designing and operating large-scale data pipelines and analytics solutions for enterprise clients. At IBM he led a cloud migration across 5,000 locations and built Airflow-driven pipelines that improved operational efficiency by 15%, combining Python, PowerShell, PySpark and Power BI to translate complex supply chain and inventory data into actionable decisions. He has deep hands-on skills across databases (Oracle, Redshift, PostgreSQL, DynamoDB), cloud (AWS S3/Redshift), and DevOps tooling (Docker, Kubernetes, Jenkins), and has delivered web-based procurement tooling that streamlined processes for a national retailer. Hao pairs technical breadth—from Django/Flask APIs to Spark and machine learning libraries—with a practical, KPI-driven mindset informed by marketing and supply-chain use cases. Based in Aliso Viejo, CA, he’s known for digging beyond surface metrics to uncover systemic improvements that unlock business value. Colleagues rely on him to bridge data engineering and business strategy to turn messy data into repeatable, production-grade solutions.
8 years of coding experience
Master, Computer Science, Master, Computer Science at Minnesota State Moorhead
Chinese