Miklós Gergely is a Senior Software Engineer based in Budapest with a decade of experience building and maintaining large-scale back-end systems. He has progressed through roles at Interactive Brokers, Hortonworks, Cloudera, and now Google, bringing deep expertise in distributed data platforms and cluster management. His open-source contributions to prominent Apache projects like Hive and Ambari show hands-on knowledge of data warehousing internals, schema migrations, log management, and reliability testing. Colleagues rely on him for pragmatic bug fixes and tooling improvements that keep production systems stable and upgradeable. He combines a systems-first engineering mindset with a track record of improving observability and upgrade paths in complex data ecosystems. Notably, his work on Hive’s conversion utilities and Ambari’s log ID mapping highlights an attention to operational detail that reduces friction during large-scale platform upgrades.
Contributions:150 reviews, 163 commits, 120 PRs in 3 years
Contributions summary:Miklós's commits primarily focus on enhancing and maintaining Apache Hive, a data warehousing project. The contributions involve fixing bugs, improving the schema tool's validation process, and adjusting the conversion utility for upgrading Hive versions. They addressed issues in table creation, data loading, and the handling of database-specific features. Their work demonstrates a good understanding of Hive's internal workings, data storage, and query optimization.
Apache Ambari simplifies provisioning, managing, and monitoring of Apache Hadoop clusters.
Role in this project:
Back-end Developer
Contributions:269 commits, 37 PRs, 18 pushes in 2 years 8 months
Contributions summary:Miklós's contributions primarily focused on back-end development within the Apache Ambari project. They implemented a mapping mechanism for service/component to log IDs, enhancing the ability to track and manage logs. Further contributions involved writing unit tests, which is also a core part of backend development. This included the addition of unit tests to the Logfeeder, improving the reliability and functionality of the project.
provisioningpythonclustersjavascriptapache
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