Tamás Németh
Software Engineer at The Apache Software Foundation
Budapest, Hungary
Summary
🤩
Rockstar🎓
Top SchoolTamás Németh is a software engineer with 11 years of experience focused on keeping data infrastructure reliable and maintainable. Based in Budapest, he currently contributes to DataHub and serves as a PMC committer on Apache Gobblin, blending production engineering with open-source stewardship. His background includes leading Prezi’s data platform as Senior Staff Engineer and earlier systems work at Morgan Stanley and NetLock, giving him deep experience across data pipelines, PKI, and Unix server operations. On GitHub he’s made substantive backend contributions to the widely used DataHub project, notably improving Redshift ingestion and lineage accuracy by handling edge cases like temporary tables and schema filtering. Colleagues rely on him for pragmatic fixes that bridge SQL, metadata modelling, and robust pipeline behavior. He combines hands-on coding with a knack for uncovering subtle data-quality issues that silently undermine analytics.
11 years of coding experience
18 years of employment as a software developer
Bachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at Budapesti Műszaki Főiskola
Github Skills (11)
aws-redshift10
amazon-redshift10
sql10
python10
data-engineering10
db-schema9
database-schema9
schema9
database-design9
schema-design9
aws7
Programming languages (5)
Github contributions (5)
datahub-project/datahub
Oct 2021 - Jan 2023
The Metadata Platform for your Data and AI Stack
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 release, 1043 reviews, 281 commits in 1 year 3 months
Contributions summary:Tamás made significant contributions to the Redshift ingestion source, focusing on improvements to the external table type handling and fixing lineage generation issues. Their work involved refining the SQL queries and improving the accuracy of lineage information by adjusting how it extracted from the database. The user also made critical updates to the code to address edge cases related to temporary tables and incorrect schema filtering in the database.
data-managementdata-discoverydata-stackmodern-data-stackdata-catalog
prezi/incubator-pinot
May 2020 - Dec 2020
Apache Pinot (Incubating) - A realtime distributed OLAP datastore
Contributions:6 PRs, 24 pushes, 2 branches in 7 months
incubatingrealtimeolapapachedatastore
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