Alexander Pelagenko
Core Database Engineer
London, England, United Kingdom
Summary
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Rockstar🎓
Top SchoolAlexander Pelagenko is a Core Database Engineer based in London with 11 years of experience building high-performance backend systems, currently contributing to QuestDB, an open-source time-series database. He specializes in low-level data handling, query optimization, and performance tuning—work that has included improving vector frame calculations and stabilizing the griffin SQL component. His background spans front-office and quantitative engineering roles across finance firms (Barclays, UBS, BNP Paribas, BlueBay), giving him deep experience in latency-sensitive and analytics-heavy systems. Trained as a mathematician, he brings a rigorous, analytical approach to database internals and enjoys writing databases as much as using them, a rare focus that bridges theory and production-grade engineering.
11 years of coding experience
14 years of employment as a software developer
Master, Maths, Master, Maths at Kiev National Taras Shevchenko University
Stackoverflow
1,345reputation
35kreached
59answers
4questions
Github Skills (15)
timeseries-database10
javas10
sql10
java10
performance-optimization9
database-design9
recursion6
c-language6
questdb6
tail-recursion6
google-chrome6
python6
cprogramming-language6
angular6
scala6
Programming languages (10)
Github contributions (5)
questdb/questdb
Feb 2015 - Jan 2023
QuestDB is a high performance, open-source, time-series database
Role in this project:
Back-end Developer & Database Engineer
Back-end Developer & Database EngineerContributions:8 releases, 2028 reviews, 617 commits in 8 years
Contributions summary:Alexander contributed to the QuestDB codebase by addressing bugs, implementing features, and optimizing the performance of the database. Their work included improving the calculation of vector frames and fixing errors in SQL queries, with a particular focus on enhancements related to the `griffin` component. Additionally, the user made changes to the database's low-level data handling, contributing to a more stable and performant system. These contributions demonstrate their experience with the core functionalities of a time-series database.
simdfinancial-analysisgrafanatime-seriestsdb
ideoma/questdb
Apr 2020 - Dec 2023
An open source SQL database designed to process time-series data, faster
Contributions:89 pushes, 9 branches in 3 years 8 months
data-analyticssql-databasesqlfasterseries-data
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