Paul Zhang is a Senior Software Engineer with a decade of experience building robust backend systems and distributed applications, currently based in Chapel Hill, NC. He has led engineering efforts across finance and enterprise software—most recently as a VP-level tech lead at Credit Suisse and now contributing at Intapp—bringing deep experience in C#, C++, Java, and large-scale integration patterns. An active open-source contributor to high-profile projects like Apache Hudi and Apache Flink, he has implemented Kerberos support, type-conversion fixes, and runtime/resource-management improvements that strengthen big-data ingestion and stream processing. Paul combines hands-on coding with architectural leadership, having authored distributed web services and REST APIs earlier in his career, and he’s comfortable tackling both low-level system issues and high-level platform design. Notably, his background includes cross-platform interoperability work and performance tuning, a thread that runs from legacy Java runtimes to modern big-data frameworks.
10 years of coding experience
17 years of employment as a software developer
Hunan University
Master’s Degree, Computer Science, Master’s Degree, Computer Science at Oklahoma State University
Contributions:35 reviews, 26 commits, 50 PRs in 2 years 4 months
Contributions summary:Paul primarily contributed to the Apache Flink codebase by addressing various runtime-related issues and improving the project's core functionalities. Their work involved fixing variable name typos, removing unused imports, and enhancing the resource management aspects of the task managers. Additionally, the user updated the build configurations for the Scala shell by setting default logging configurations. Furthermore, they addressed issues with a classloader by overriding the `URLClassLoader#getURLs` method.
Upserts, Deletes And Incremental Processing on Big Data.
Role in this project:
Back-end Developer
Contributions:16 reviews, 5 commits, 14 PRs in 7 days
Contributions summary:Paul primarily contributed to the backend functionality of the Apache Hudi project. Their work involved adding support for Kerberos authentication, fixing an issue with exception handling in table creation, addressing date type conversion issues, and implementing implicit type conversion for filter push down. They also made modifications to the Flink integration, addressing table type validation and improving error messages, as well as bug fixes.
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