Sergey聽Goder
Software Engineer at Airbnb
San Francisco, California, United States
Summary
馃懁
Senior馃帗
Top SchoolSergey Goder is a software engineer in San Francisco with 12 years of experience building data-driven systems at tech leaders including Airbnb, Apple, and Facebook. Grounded in mathematics and statistics from UC Berkeley, he has moved between data science and engineering roles鈥攄esigning ETL and analytics pipelines, productionizing models, and building tooling for data scientists. He's contributed backend features to the widely used Presto distributed SQL engine, adding aggregation and scalar functions and improving documentation, reflecting a focus on scalable query processing. Sergey combines strong R and statistical analysis skills with practical experience in Pig, Python, and production backend development, making him effective at closing the gap between research and production. Colleagues value his ability to translate complex analytic needs into robust engineering solutions and clear examples for users.
12 years of coding experience
10 years of employment as a software developer
A.A., Mathematics, A.A., Mathematics at De Anza CollegeBachelor of Arts, Mathematics, Statistics, Bachelor of Arts, Mathematics, Statistics at University of California, Berkeley
Russian
Stackoverflow
19reputation
2kreached
0answers
5questions
Github Skills (25)
aggregate10
query-builder10
databases10
distributed-systems10
aggregate-functions10
java10
javas10
aggregations10
sql10
query-engine10
aggregates10
presto10
documentation10
database10
data-set9
Programming languages (11)
Github contributions (5)
prestodb/presto
Dec 2014 - Apr 2018
The official home of the Presto distributed SQL query engine for big data
Role in this project:
Back-end Developer
Back-end DeveloperContributions:9 commits, 7 PRs, 6 comments in 3 years 5 months
Contributions summary:Sergey primarily contributed to the implementation of core features and functionalities related to the Presto query engine. They added an "arbitrary" aggregation function and a "greatest" scalar function, enhancing the engine's data processing capabilities. Furthermore, the user improved the documentation by adding examples and fixing syntax errors. They demonstrate an understanding of the Presto codebase and the needs of users.
distributed-sqlquerybigdataquery-enginesql
cosinequanon/dotfiles
Jan 2015 - Dec 2021
Contributions:36 pushes in 7 years
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