Yuri Bogomolov
Senior Staff Engineer at Robinhood
Greater Seattle Area United States
Summary
👤
Senior🎓
Top SchoolYuri Bogomolov is a Senior Staff Engineer in the Greater Seattle Area with nine years of experience building distributed systems and data-driven platforms across top tech firms and finance. He has driven core back-end work at Two Sigma (notably as a core developer of the open-source Flint time-series library for Spark), built large-scale data pipelines at Netflix, and now leads engineering efforts at Robinhood. His strength lies in bridging deep computer science and data science foundations—he holds two master’s degrees—and turning research-grade algorithms into production-grade, zero-copy data flows. Colleagues rely on him for pragmatic refactors, Catalyst/InternalRow integrations, and robust summarizer/filtering logic in high-throughput systems. He combines academic rigor with product-focused execution, often surfacing subtle performance wins that reduce operational cost at scale.
9 years of coding experience
11 years of employment as a software developer
Master's Degree, Computer science, Master's Degree, Computer science at Belarusian State UniversityMaster’s Degree, Data Science, Master’s Degree, Data Science at Higher School of Economics
English, Russian, Russian
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
data-analysis10
unit-testing10
dataframes10
apache-spark10
time-series10
dataframe10
scala10
Programming languages (4)
Github contributions (5)
twosigma/flint
Oct 2016 - Mar 2018
A Time Series Library for Apache Spark
Role in this project:
Back-end Developer
Back-end DeveloperContributions:35 commits in 1 year 4 months
Contributions summary:Yuri primarily worked on the `flint` library, focusing on the `TimeSeriesRDD` class. Their contributions involved unsealing the `TimeSeriesRDD` trait, refactoring the code to use Catalyst's InternalRow, and implementing a zero-copy conversion between TSRDD and DF. Furthermore, they were responsible for implementing column filters for summarizer APIs, and adding and refactoring unit tests.
apachesparkscalaapache-sparktime-series
yuribogomolov/sttn
Dec 2020 - Mar 2025
Framework for spatio-temporal network analysis
Contributions:2 releases, 7 reviews, 14 PRs in 4 years 4 months
spatio-temporaltemporal-networknetwork-analysistemporal
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