Dayue Gao - Software Engineer at meituan.com

Dayue Gao

Software Engineer at meituan.com

Beijing, China

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Summary

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Rockstar

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Top School

Dayue Gao is a seasoned software engineer based in Beijing with 12 years of experience building large-scale data infrastructure and SQL query systems for petabyte-scale analytics at Meituan. He brings deep back-end expertise in high-performance analytics databases, contributing to prominent open-source projects like Apache Druid and Apache Doris where he fixed concurrency bugs, improved storage engines, and hardened SQL request handling. Dayue’s background includes hands-on experience with Parquet and HAWQ from internships at Pivotal and EMC Greenplum, reflecting a long-standing focus on columnar storage and query performance. Known for pragmatic refactors and attention to correctness under load, he blends production-ready engineering with research-driven solutions from his graduate studies at Beijing Jiaotong University. An underappreciated strength is his ability to navigate both legacy Hadoop-era modules and modern analytics patterns, making him effective at evolving complex data platforms.

13 years of coding experience

Master's degree, Computer Software Engineering, Master's degree, Computer Software Engineering at Beijing Jiaotong University

Chinese, English

Github Skills (27)

storage-engine10

c-language10

back-end-development10

databases10

big-data10

java10

olap10

javas10

sql10

query-engine10

cprogramming-language10

relational-databases10

sql-database10

database10

druid10

Programming languages (6)

MDXJavaC++RustTeXWren

Github contributions (5)

apache/doris

Jun 2019 - May 2022

Apache Doris is a real-time analytics and hybrid search database for AI agents.

Role in this project:

Back-end Developer

Contributions:4 reviews, 50 commits, 70 PRs in 2 years 11 months

Contributions summary:Dayue primarily contributed to the back-end development of Apache Doris, focusing on improving the storage engine. Their work involved fixing bugs in the v2 ColumnReader, removing unreachable code, and implementing new features such as BetaRowset and BetaRowsetWriter, all of which are crucial for data management and query performance. They also refactored and optimized several aspects of the codebase, including page format and lru cache.

ai-agentapache-dorisdatabaseolaphudi

apache/druid

Mar 2016 - Jan 2019

Apache Druid: a high performance real-time analytics database.

Role in this project:

Back-end Developer

Contributions:9 commits, 11 PRs, 64 comments in 2 years 10 months

Contributions summary:Dayue primarily focused on addressing various issues and implementing improvements within the Apache Druid codebase. They contributed to the `indexing-hadoop` module by updating the use of `ISODataTimeFormat` for `hdfs` and `viewfs` schemas. Additionally, the user fixed race conditions in `ParseCtx` and addressed incorrect checks related to `maxSemiJoinRowsInMemory`. Further work included resolving assertion errors in semi-join queries and refining the handling of SQL requests, specifically ensuring unauthorized requests return a 403 status and adding an option for a time condition.

apache-druiddatabasedruid

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