Yunqing Zhou
Senior Staff Software Engineer at Google
Mountain View, California, United States
Summary
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Rockstar🎓
Top SchoolYunqing Zhou is a Senior Staff Software Engineer in Mountain View with 11 years of experience building high-performance, reliable distributed systems and data platforms. Currently leading work on F1 Query at Google, she has a strong history driving performance and observability improvements—most notably instrumenting and optimizing the Google Cloud Dataflow Java SDK to reduce copying and measure user code execution time. Her career spans technical leadership roles at PingCAP and long-term impact at Google across Cloud Dataflow and web search, plus early search-engine and infrastructure experience at Baidu and Alibaba Cloud. Known for a simplicity-and-performance mindset, she blends hands-on systems engineering with team leadership and a knack for turning low-level optimizations into measurable product reliability gains.
11 years of coding experience
15 years of employment as a software developer
Master, Computer Science, Master, Computer Science at Shanghai Jiao Tong University
Stackoverflow
444reputation
14kreached
16answers
1question
Github Skills (15)
javas10
google-cloud-dataflow10
performance-optimization10
java10
data-engineering9
testing8
access-control6
user-defined-function6
google-bigquery6
google-api6
google-cloud-pubsub6
google-cloud-platform6
javascript6
apache-beam6
python6
Programming languages (2)
Github contributions (5)
GoogleCloudPlatform/DataflowJavaSDK
Mar 2015 - Nov 2015
Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 commits in 8 months
Contributions summary:Yunqing primarily focused on optimizing and instrumenting the Dataflow Java SDK. Their contributions include refactoring code for improved performance, such as fast coder encoding and avoiding byte copying. They also addressed critical issues related to the Google Cloud Storage write channel buffer size. Furthermore, the user added instrumentation to measure user code execution time and improve the reliability of the SDK.
stream-processingbeambatchdata-processingparallel
azurezyq/beam
Aug 2017 - Apr 2021
Mirror of Apache Beam
Contributions:9 pushes, 6 branches in 3 years 8 months
javaapache-beamapachebeam
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