Patrick Yang
Staff Software Engineer at Databricks
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolPatrick Yang is a Staff Software Engineer based in San Francisco with a decade of experience building scalable, production-grade backend systems at Databricks. He has deep expertise in distributed data platforms and observability—evidenced by contributions to Redash that added metrics and improved secret handling and monitoring for workers and schedulers. His background blends industry and research, from developing Spark-based genomics tooling at Berkeley RISE Lab to implementing long-running validation services at Google and Azure migration tooling at Microsoft. Comfortable across system-level engineering and data infrastructure, he brings a pragmatic security-minded approach to large-scale services and a track record of shipping reliable, auditable solutions.
10 years of coding experience
9 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of California, BerkeleyHigh School, High School at Interlake High School
English
Github Skills (15)
datasources10
dashboard10
statsd10
datasource10
business-intelligence10
back-end-development10
python10
analytics10
mongodb-database9
security9
postgresql9
mongodb9
sql9
docker6
dockers6
Programming languages (7)
Github contributions (5)
getredash/redash
May 2020 - Jan 2021
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 commits, 7 PRs, 2 pushes in 8 months
Contributions summary:Patrick implemented and modified backend functionality for the Redash platform. Their contributions include adding statsd metrics for worker and scheduler processes, improving the monitoring capabilities of the system. Additionally, they focused on security-related enhancements such as obfuscating sensitive information in alert destinations and secret handling for various data source configurations like Yandex Metrica, TreasureData, and PostgreSQL SSL. The user also made changes to MongoDB configurations, adding fields for username and password for database connectivity.
pythondatacompany-datavisualizebusiness-intelligence
Veryku/ray
Mar 2018 - May 2018
A high-performance distributed execution engine
Contributions:50 pushes, 12 branches in 1 month
rayexecution-engineperformancedistributed-systemsexecution
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