William Gan
Software Engineer at Databricks
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolWilliam Gan is a software engineer with a decade of experience building scalable data platforms and observability tooling, currently improving Spark observability at Databricks. With an MS and BA from UC Berkeley in EECS and Computer Science & Applied Mathematics, he has deep quantitative chops and a strong interest in ML and big data systems. He previously helped design and operate DoorDash’s data platform spanning Airflow, ClickHouse, Kafka, Pinot, Snowflake, Spark, and Trino, and interned at Google and Nuro, giving him production- and research-oriented perspectives. As head TA for Berkeley’s upper-division probability course and a biotech-focused data scientist on GitHub, he blends statistical and epidemiological thinking into engineering decisions. Colleagues rely on him to translate complex data problems into reliable, observable systems that scale in real-world environments.
10 years of coding experience
5 years of employment as a software developer
M.S. Electrical Engineering and Computer Science, M.S. Electrical Engineering and Computer Science at University of California, Berkeley
Github Skills (11)
noaa-data8
r-package8
noaa8
smoke8
health7
shiny6
ocean6
r5
carbon-emissions5
forecasts4
ropensci2
Programming languages (2)
Github contributions (5)
RyanGan/colorado_wildfire
Jan 2017 - Dec 2020
Contributions:63 pushes, 2 branches in 3 years 11 months
RyanGan/smoke_forecaster
May 2017 - Jul 2019
Shiny app of maps for forecasts of smoke and health impacts
Contributions:138 pushes, 3 branches, 6 issues in 2 years 1 month
shiny-apphealthshinyrstatsforecasts
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