Yufan Wang
Software Engineer at Electronic Arts (EA)
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolYufan Wang is a software engineer with eight years of experience now pursuing a Master's in Computer Science at Rice University and working on EA's Data & AI platform. He brings strong backend and data engineering skills—Java, Spark, Flink, Kafka—and a track record of speeding ETL and real-time pipelines (30% batch improvements and minute-level timeliness gains at Tencent). His open-source work on Databend, a modern analytics engine, highlights contributions to SQL parsing, async command handling, and privilege checks, reflecting deep familiarity with query processing and database internals. At DJI he accelerated Spark-based SLAM pipelines sixfold, containerized workloads for Kubernetes/Argo, and evaluated lakehouse technologies like Iceberg and MinIO. Based in Austin, he’s particularly interested in the intersection of cloud-native architectures and big data, combining practical DevOps automation with rigorous data correctness validation.
8 years of coding experience
1 year of employment as a software developer
Master's degree, Computer Science, 4.0/4.0, Master's degree, Computer Science, 4.0/4.0 at Rice UniversityBachelor's degree, Computer Software Engineering, 3.83/4.00, Bachelor's degree, Computer Software Engineering, 3.83/4.00 at 电子科技大学
Github Skills (16)
query-engine10
query-parser10
rust10
sql10
relational-databases10
querying10
sql-database10
database10
command-line9
command-line-interface9
databases9
testing8
database-design8
security7
olap7
Programming languages (10)
Github contributions (5)
databendlabs/databend
Oct 2021 - Jan 2023
𝗗𝗮𝘁𝗮, 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗔𝗜. Modern alternative to Snowflake. Cost-effective and simple for massive-scale analytics. https://databend.com
Role in this project:
Backend Developer
Backend DeveloperContributions:10 reviews, 23 commits, 6 PRs in 1 year 3 months
Contributions summary:Yufan primarily contributed to the backend aspects of the Databend project. Their commits focused on removing database engine parsing from the SQL parser, fixing a stateless test related to database creation and dropping, and moving view table commands from synchronous to asynchronous operations within the command-line interface. Further contributions include improvements to comparison operations and additions to privilege checks, indicating their involvement in refining the query processing and security features of the database.
serverlesslow-costdata-warehousestoragequery-processing
yufan022/hazelcast-demo
Oct 2019 - Mar 2022
Contributions:3 PRs, 5 pushes, 1 branch in 2 years 4 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.