Summary
Hai Jiang is a software engineer with nine years of experience specializing in big data, cloud distributed systems, and scalable ETL pipelines, currently based in Palo Alto and working at DoorDash. He combines deep hands-on expertise in Spark, Hadoop, Kubernetes, and both AWS and Azure managed services with strong proficiency in Python, Scala, and Java to build fault-tolerant, concurrent data platforms that process billions of events daily. Hai has repeatedly unblocked production bottlenecks by designing optimized throughput and low-latency APIs (Akka, Spring Boot) and end-to-end data architectures incorporating S3, Postgres, Elasticsearch, and databricks. His background spans media analytics, fintech-style data products, and production machine learning pipelines, and he brings a rare mix of patent-driven R&D experience and practical, production-grade engineering. Notably, he has designed multi-level storage and streaming solutions that enabled real-time decisioning at scale while maintaining strong testing and lifecycle practices.
9 years of coding experience
13 years of employment as a software developer
Master’s Degree Integrated Circuit Design at Electronic Thin Film and Integrated Component National Key Laboratory, Master’s Degree Integrated Circuit Design at Electronic Thin Film and Integrated Component National Key Laboratory at University of Electronic Science and Technology of China
Master’s Degree Electrical and Computer Engineering (Software Engineering), Master’s Degree Electrical and Computer Engineering (Software Engineering) at University of Waterloo