Feng Zhu
Data Analyst
Shenzhen, Guangdong Province, China
Summary
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RockstarFeng Zhu is a Data Analyst with nine years of hands-on experience in large-scale data processing and database systems, based in Shenzhen, China. He brings deep SQL and backend expertise, demonstrated by substantive contributions to flagship Apache projects like Spark and Calcite where he fixed complex SQL engine bugs and enhanced Spark SQL dialect support for CUBE/ROLLUP and aggregate materialization. Comfortable navigating core JVM code and test suites, he focuses on making analytics engines more correct and robust—tackling issues from codegen failures to time zone casting and BigDecimal code generation. Feng’s background blends practical data analytics skills with systems-level engineering, making him adept at translating tricky query semantics into reliable production behavior. A detail-oriented contributor, he often pairs refactors with targeted tests to ensure long-term stability across distributed query engines.
8 years of coding experience
Github Skills (12)
scala10
apache-calcite10
javas10
spark-sql10
big-data10
code-generation10
spark10
sql10
calc10
java10
testing10
bigdecimal8
Programming languages (2)
Github contributions (5)
apache/calcite
May 2019 - Jul 2020
Apache Calcite
Role in this project:
Back-end Developer
Back-end DeveloperContributions:18 reviews, 22 commits, 65 PRs in 1 year 1 month
Contributions summary:Feng primarily contributed to the Apache Calcite project, focusing on enhancing SQL dialect support for the Spark SQL platform. Their work involved implementing and refactoring features related to the CUBE and ROLLUP operators, ensuring correct query rewriting and code generation within the Spark dialect. Additionally, they addressed issues related to aggregate materialization and code generation for BigDecimal ConstantExpressions and UDFs. Their contributions included modifications to test cases and core Java code to improve compatibility and functionality.
geospatialapache-calcitesqlapachebig-data
apache/spark
Jul 2017 - Oct 2017
Apache Spark - A unified analytics engine for large-scale data processing
Role in this project:Back-end Developer
Back-end DeveloperContributions:4 commits, 14 PRs, 58 comments in 3 months
Contributions summary:Feng primarily contributed to the Apache Spark project by addressing several SQL-related issues, including codegen failures, aggregation initialization problems, and incorrect handling of time zone information within Cast expressions. They focused on fixing bugs and improving the stability and correctness of Spark's SQL engine, as evidenced by their involvement in modifying core aggregation iterators, resolving conflicts between column references and function calls, and enhancing the parsing of expressions. The commits also show test case implementations to validate the fixes.
analyticspythondata-processingsqlapache
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