Summary
Zhennan Z is a data development engineer with eight years of experience and over five years focused on data engineering, specializing in SQL, Python, ETL and cloud data warehouses. He has led large-scale ETL initiatives — including migrating 20TB from Hadoop to Snowflake and building pipelines that process 50M+ daily records — and improved SQL Server performance by 40% through index and stored-procedure redesign. His background spans financial domains (securities retail, fixed income, asset securitization) where he built production reporting, automated data-quality toolchains, and ensured core metric accuracy to 99.9%. Comfortable in English work environments and cross-department coordination, he also drove data SLA adoption and operationalized BAU monitoring. Notable for combining deep procedural SQL expertise with Python automation, he balances hands-on optimization and system-level design to support trading, risk, and quantitative teams.
8 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Science and Communication Engineering, Bachelor's degree, Computer Science and Communication Engineering at Jiangsu University of Science and Technology