Linhong Liu
Software Engineer at Databricks
Sunnyvale, California, United States
Summary
🤩
Rockstar🎓
Top SchoolLinhong Liu is a software engineer with five years of professional experience building backend systems at Databricks, Baidu, and Intel Labs, based in Sunnyvale, California. She focuses on improving correctness and stability in large-scale data processing, contributing bug fixes and refactors to high-profile open-source projects such as Apache Spark and Delta Lake. Her work centers on Spark SQL and Delta DML/temporary view interactions, demonstrating a deep practical understanding of distributed query processing and storage semantics. With a master's in Computer Software Engineering from Peking University, she combines strong academic foundations with hands-on engineering that surfaces in careful, test-backed fixes to complex data engine behaviors. An understated strength is her pattern of tackling subtle SQL and schema edge cases that improve reliability for many downstream users.
5 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Northwestern Polytechnical UniversityMaster's degree, Computer Software Engineering, Master's degree, Computer Software Engineering at Peking University
Github Skills (10)
javas10
spark-sql10
big-data10
debug10
delta-lake10
sql10
java10
scala10
testing9
analytics7
Programming languages (1)
Github contributions (5)
apache/spark
Oct 2020 - Jan 2023
Apache Spark - A unified analytics engine for large-scale data processing
Role in this project:
Back-end Developer
Back-end DeveloperContributions:136 reviews, 27 commits, 64 PRs in 2 years 3 months
Contributions summary:Linhong primarily contributed to bug fixes within the Apache Spark SQL module. They addressed issues related to aggregating distinct decimal columns, fixing an analyzer bug, and resolving temporary view issues. The user also made changes related to SQL text storage for temporary views. The contributions centered around improving the stability and correctness of Spark SQL's query processing capabilities.
analyticspythondata-processingsqlapache
delta-io/delta
Dec 2020 - Nov 2022
An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
Role in this project:Backend Developer
Backend DeveloperContributions:7 commits in 2 years
Contributions summary:Linhong primarily contributed to bug fixes and improvements in the Delta Lake project, focusing on core functionalities and SQL interactions. They addressed issues related to temporary views and Delta DML operations, ensuring compatibility and resolving errors. Further contributions include refactoring code, updating comments, and modifying tests to improve functionality within the project. They also made changes related to making the `DESC TABLE` show varchar instead of char in SQL.
analyticsprestodbflinkbig-dataspark
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