Illya Yalovyy
Senior Software Engineer at Amazon Project Kuiper
Redmond, Washington, United States
Summary
👤
Senior🎓
Top SchoolIllya Yalovyy is a Senior Software Engineer with 16 years of experience building large-scale, reliable distributed systems and open-source integrations, now working on secure communications for Amazon Project Kuiper in Redmond. He has deep expertise in big data platforms—especially Apache Hive and the Hadoop ecosystem—contributing bug fixes, optimizations, and unit tests to flagship projects used across the industry. At AWS he shipped infrastructure and developer tools for EMR, RDS open-source initiatives, and genomics workflows, and has led automation efforts for global datacenter operations. Comfortable across Java, Golang, cloud-native services, and low-level I/O, he combines systems-level rigor with pragmatic product thinking. A former lead on a 750TB data migration and performance rewrites that cut processing from days to hours, he thrives on solving hard reliability and data-integrity problems.
16 years of coding experience
26 years of employment as a software developer
Master's degree ELECTRICAL ENGINEERING, Master's degree ELECTRICAL ENGINEERING at Ukrainian State Maritime Technical University
Stackoverflow
86reputation
8kreached
3answers
0questions
Github Skills (13)
javas10
hive10
sql10
java10
hadoop9
big-data9
databases8
database8
testing7
go6
reflection6
compilation6
mysql6
Programming languages (6)
Github contributions (5)
apache/hive
Sep 2015 - Jul 2016
Apache Hive
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 commits in 10 months
Contributions summary:Illya primarily contributed to the Apache Hive project by fixing bugs and implementing improvements to existing functionalities. Their work included addressing issues related to dynamic partitioning, the handling of PTF (Partitioned Table Function) operations, and resolving problems within the HiveIndexedInputFormat. They also added unit tests to cover specific bug fixes, contributing to the overall stability and reliability of the Hive codebase. The user's modifications focused on core components such as data persistence, query optimization, and input/output operations.
flinksqlapachebig-dataspark
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