Summary
Harrison Cheng is a pragmatic data engineer with a decade of experience building real-time, large-scale data systems, now working at Société Générale. He has spent recent years architecting streaming and batch pipelines for e-commerce at Carrefour, leveraging Kafka/Kafka Streams, Spark, GCP, Kubernetes and Scala to deliver near-real-time inventory (ATP) insights. At Univalence he combined engineering with technical writing and open-source contributions (spark-tools) and has spoken publicly about Scala and streaming. Early roles include research on Kafka Streams and hands-on IoT/R&D work in Golang, reflecting a strong foundation in both systems research and productionization. Based in France, he blends a researcher’s curiosity with production-grade engineering discipline and a habit of sharing learnings via blog posts and talks.
10 years of coding experience
7 years of employment as a software developer
Polytechnique Montréal
ESIEE PARIS
French, English, Chinese, German, Japanese