László Pintér is a Senior Staff Software Engineer at Dremio with over 15 years of experience building scalable, high-performance data systems and a track record in distributed big data platforms. An Apache Hive committer and active contributor to Apache Iceberg, he brings deep backend and metastore expertise—especially around Parquet, transactional operations, compaction, and partition management. His career spans SAP and Cloudera roles where he helped shape production-grade data infrastructure and database-focused backend features. Based in Munich, he combines strong OOP fundamentals with pragmatic system design to make complex data workflows reliable and efficient. Colleagues rely on him for thoughtful technical leadership and for translating intricate storage and schema challenges into robust engineering solutions.
7 years of coding experience
13 years of employment as a software developer
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Budapest University of Technology and Economics
Contributions:267 reviews, 82 commits, 117 PRs in 4 years 2 months
Contributions summary:László's commits primarily focus on enhancing the Apache Hive project, with a specialization in data storage and database aspects. Their contributions center on improving the handling and storage of data within the Hive ecosystem, particularly related to Parquet file formats, metadata management, and transactional operations. The user actively developed features around compaction, partition management, and implementing features to create temporary tables. These changes involved modifications to core Hive code, including the metastore, which suggests significant involvement in database design and backend development.
Contributions:99 reviews, 15 commits, 14 PRs in 1 year 7 months
Contributions summary:László primarily contributed to the Apache Iceberg project by implementing bug fixes, enhancements, and new features. They focused on improving data handling and schema management, addressing issues related to data type conversions and object inspectors within the Hive integration. Additionally, the user added support for new data types and optimized code for handling binary data. The user also contributed to improving table metadata and creating table properties.
apache-icebergapachebig-datadatastreamjava
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