Summary
Dai Yunzhou is a data engineering professional with 8 years of experience specializing in big data platforms such as Databricks, Spark, and Delta Lake, currently supporting an FMCG client’s OLAP migration to Azure China Cloud. He has a strong track record in end-to-end ETL delivery, PySpark development and UDFs, performance tuning, cost-aware compute optimization, and pytest-driven testing. Previously at Accenture he led offshore ETL teams across capital markets and insurance domains, combining hands-on engineering, BA/PM duties, and Scrum Master responsibilities for teams of up to 14. He routinely authors technical documentation, coding reviews, and best practices as an SME, and has driven automation and efficiency improvements across projects. Based in Pudong, Shanghai, Dai blends practical cloud migration experience with operational ITSM skills—making him equally comfortable in hyper-care and long-term platform governance. An understated strength is his consistent focus on cost-performance tradeoffs in Databricks deployments, which has repeatedly reduced runtime and cloud spend.
8 years of coding experience
14 years of employment as a software developer
学士, 计算机科学, 学士, 计算机科学 at 复旦大学
计算机及应用, 计算机及应用 at 上海电机学院
Japanese, English, Chinese