Top expert inData Engineering and Analytics Technologies
Yongjie Zhao is a senior data engineer based in Munich with 11 years of experience building data platforms, BI products, and interactive visualizations. He blends back-end data engineering and front-end UI work—evident from substantial contributions to Apache Superset where he improved engine integrations (notably Apache Kylin) and refactored chart control panels and UX. As an Apache PMC committer and former full-stack engineer at Preset and Kyligence, he moves features from prototype to enterprise production and has fixed subtle data issues like date range and percentage handling. Comfortable across Python, compiler-adjacent tooling, and visualization stacks, he brings a pragmatic taste for cleaner UX and robust data formatting. Colleagues will find him quietly focused on craftsmanship—“努力修炼中”—and consistently shipping improvements that bridge developer needs and user experience.
11 years of coding experience
8 years of employment as a software developer
College, Computer Science, College, Computer Science at Shijiazhuang University
Apache Superset is a Data Visualization and Data Exploration Platform
Role in this project:
Back-end & Data Engineer
Contributions:1149 reviews, 373 commits, 719 PRs in 4 years 11 months
Contributions summary:Yongjie made substantial contributions to the data visualization and exploration platform, Apache Superset. They primarily worked on integrating and supporting various database engines, most notably Apache Kylin, by adding data source documentation and implementing relevant engine specifications. The contributions also included improvements to the handling and formatting of data within the system, like fixing date range and percentage calculation issues, and updating table display with advanced features.
Contributions:188 reviews, 62 commits, 120 PRs in 9 months
Contributions summary:Yongjie primarily focused on UI-related improvements and enhancements to the Apache Superset UI. Their commits involved refactoring and reorganizing control panels for existing charts, specifically for NVD3 and Big Number charts, leading to better organization and user experience. Further contributions included the implementation of a drop-down "group by" feature. The user also addressed a bug in the graph visualization by fixing a crash related to the DnD control.
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