Anton P - Software Engineer at Starburst

Anton P

Software Engineer at Starburst

Bulgaria

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Summary

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Anton P is a software engineer with 11 years of experience specializing in large-scale data systems, distributed query engines, and database integrations. Currently at Starburst, he has deep hands-on expertise in Presto/Trino and Hive, contributing upstream fixes such as GROUPING() support, test isolation to prevent race conditions, and Docker-based Hive integration improvements. His background spans finance and enterprise analytics (JPMorgan Chase, Teradata, Hadapt), and he brings practical skills in Java, Python, and Linux to complex data infrastructure problems. A Yale-educated technologist, he pairs algorithmic thinking with production-grade engineering and a demonstrated knack for improving robustness in open-source big data projects.

11 years of coding experience

7 years of employment as a software developer

International Baccalaureate (IB), International Baccalaureate (IB) at St. George's British International School

Computer Science (BS) Economics (BA), Computer Science (BS) Economics (BA) at Yale University

Stackoverflow

Stats

1reputation

0reached

1answer

0questions

Github Skills (21)

sql-query10

docker10

databases10

big-data10

dockers10

java10

javas10

hive10

sql10

query-engine10

presto10

database10

hadoop9

data-set9

data-model9

Programming languages (6)

JavaShellOCamlGoTSQLPython

Github contributions (5)

prestodb/presto

Apr 2016 - Sep 2017

The official home of the Presto distributed SQL query engine for big data

Role in this project:

Back-end Developer / Data Engineer

Contributions:19 commits, 31 PRs, 2 branches in 1 year 4 months

Contributions summary:Anton primarily contributed to the Presto query engine, focusing on integrating and improving the system's interaction with Hive. Their work involved updating Docker configurations for Hive integration tests, including port and image version updates. Additionally, they refactored test code to provide table name isolation and addressed race conditions, improving the robustness of Hive integration tests. Further contributions added support for the GROUPING() function, enhancing Presto's SQL capabilities.

distributed-sqlquerybigdataquery-enginesql

trinodb/trino

Sep 2019 - May 2024

Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)

Role in this project:

Back-end Developer

Contributions:1 review, 1 comment in 4 years 8 months

Contributions summary:Anton contributed to the Hive integration within the Trino project, focusing on improving integration tests. Their work involved updating Docker configurations for Hive, specifically adjusting DNS settings and CDH image versions. They also implemented table name isolation to resolve race conditions in tests. Additionally, the user added support for the GROUPING() function, optimizing its performance by pre-computing results.

prestodbdbmsindexingjdbcbigdata

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