Adam Szita
Senior Staff Software Engineer at Dremio
Munich, Bavaria, Germany
Summary
🤩
Rockstar🎓
Top SchoolAdam Szita is a Senior Staff Software Engineer based in Munich with nine years of experience specializing in back-end systems and open-source data platforms. He has driven integrations and performance work across heavyweight projects like Apache Iceberg, Hive and Pig—contributing ORC/Parquet support, Hive metastore robustness, and Spark/Hive execution improvements. At Cloudera he led technical efforts on Hive LLAP caching and Iceberg integration, and now applies that deep data-format and execution knowledge at Dremio. An Apache PMC member and long-time committer, he blends production-grade engineering with stewardship of critical Apache infrastructure. Notably, his work often targets the tricky edges of large-scale data I/O (split-file ORC reading, vectorized readers) where small fixes yield outsized performance and correctness gains.
9 years of coding experience
10 years of employment as a software developer
Computer Science, Computer Science at University of TwenteBachelor of Science (BSc), Computer Engineering, Bachelor of Science (BSc), Computer Engineering at Budapest University of Technology and Economics
English, Hungarian, German, Dutch
Github Skills (19)
spark10
metastore10
apache-pig10
hadoop10
java10
data-storage10
javas10
hive10
apache-iceberg10
parquet10
back-end-development9
big-data9
test-automation8
database8
sql8
Programming languages (4)
Github contributions (5)
apache/hive
Feb 2018 - Nov 2022
Apache Hive
Role in this project:
Back-end Developer
Back-end DeveloperContributions:190 reviews, 114 commits, 161 PRs in 4 years 10 months
Contributions summary:Adam made numerous contributions to the Apache Hive project, specifically focused on improving and maintaining the metastore functionality. Their work includes bug fixes related to partition handling and the getPartitionNamesNoTxn method. They implemented features like handling duplicate ptests requests and added functionality to the test utilities for precommit tests. Additionally, they addressed an issue with the dropDatabase method by improving its handling of table hooks.
flinksqlapachebig-dataspark
apache/pig
May 2017 - Apr 2020
Mirror of Apache Pig
Role in this project:Back-end Developer
Back-end DeveloperContributions:47 commits in 2 years 11 months
Contributions summary:Adam contributed to the Apache Pig project, focusing on bug fixes and feature enhancements related to datetime handling and the Spark execution engine. Their work involved resolving issues with DateTimeWritable, addressing test failures, and improving the integration of Hive UDFs within the Spark execution environment. The user's commits also included fixes for InterStorage record reading and writing, along with enhancements for Pig on Spark's Yarn client mode and HBase integration.
pythonapache-pigapachebig-datadatabase
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