Zhen Li

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Summary

🤩

Rockstar

Zhen Li is a backend-focused software engineer with 12 years of experience designing databases, communication protocols, and Java-based distributed systems. Currently at Databricks after stints at Google and Neo4j, he brings deep expertise in concurrency, multithreading, and SQL/parser design—evidenced by notable contributions to Apache Spark’s SQL parser and maintenance work on Neo4j’s Python Bolt driver. Comfortable shipping production releases and refactoring complex grammars, he blends systems-level rigor with practical release engineering. Academically grounded in computer science and security/mobile computing from Shandong University and DTU, he pairs strong theoretical background with hands-on open source impact. An avid “coding cat,” he favors solving tricky coordination and parsing problems that sit at the heart of scalable data platforms.

12 years of coding experience

Github Skills (19)

sql-parser10

spark10

parser10

python10

neo4j10

driver10

sql10

antlr10

admin9

java9

scala9

database-administration9

databases9

javas9

database9

Programming languages (8)

C#JavaC++ShellScalaJavaScriptGoPython

Github contributions (5)

neo4j/neo4j-python-driver

Apr 2017 - Apr 2020

Neo4j Bolt driver for Python

Role in this project:

Back-end Developer

Contributions:19 releases, 35 commits, 94 PRs in 3 years

Contributions summary:Zhen primarily focused on preparing and releasing new versions of the Neo4j Python driver. Their work involved modifying the `meta.py` file to update the version number for release candidates, beta versions, and final releases. They also created an example file, `bookmarks_example.py`, showcasing usage of the driver's features, specifically focusing on bookmark handling within transactions.

neo4j-databasedriverpythonboltneo4j-driver

apache/spark

Jan 2023 - Jan 2023

Apache Spark - A unified analytics engine for large-scale data processing

Role in this project:

Backend Developer

Contributions:195 reviews, 3 commits, 48 PRs in 2 days

Contributions summary:Zhen's contributions primarily focus on refactoring and enhancing the Apache Spark SQL parser. They refactored the ANTLR grammar definition, separating the parser and lexer grammars, allowing for more advanced SQL features and improved code organization. The user's work included modifying the `SqlBaseParser.g4` file and making changes to the core Spark SQL codebase related to parsing and grammar definitions. This suggests a strong understanding of SQL parsing and compiler design principles.

analyticspythondata-processingsqlapache

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