Bogdan Ghit
Staff Software Engineer at Databricks
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolBogdan Ghit is a Staff Software Engineer based in Amsterdam with nine years of experience building cloud-native infrastructure for large-scale data processing at Databricks. He leads scheduling and workload management for serverless infrastructure and previously architected the widely adopted SQL Execution API and BI integrations like Cloud Fetch and Query Result Cache—both patented features that improved connectivity and performance for tools such as Tableau and PowerBI. His background includes a PhD from TU Delft on scheduling and resource management for analytics frameworks, and contributions to Apache Spark that fixed critical SQL, concurrency, and file-caching issues. Bogdan combines deep research rigor with pragmatic engineering, regularly turning academic insights into production optimizations like dynamic partition pruning and file skipping. He’s as comfortable debugging subtle race conditions in core big-data engines as he is shaping product-level APIs used by business-critical workloads.
9 years of coding experience
5 years of employment as a software developer
Master's degree, Distributed Systems, Master's degree, Distributed Systems at Vrije Universiteit Amsterdam (VU Amsterdam)POLITEHNICA București National University for Science and TechnologyPhD, Computer Science, PhD, Computer Science at Delft University of Technology
Github Skills (8)
scala10
javas10
big-data10
spark10
sql10
java10
testing10
jdbc5
Programming languages (4)
Github contributions (5)
apache/spark
Jul 2017 - Jul 2017
Apache Spark - A unified analytics engine for large-scale data processing
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 commit, 24 PRs, 39 comments in 1 day
Contributions summary:Bogdan primarily contributed to the Apache Spark codebase by addressing critical issues and implementing improvements related to SQL and testing. Their work included making changes to the `GeneratorOuter` expression, fixing a thread race condition in the `DebugFilesystem`, and resolving an integer overflow issue in the `FileStatusCache`. They also extended the hint syntax and addressed incorrect handling of structs within InSet.
analyticspythondata-processingsqlapache
bogdanrdc/spark
Jan 2017 - Aug 2018
Mirror of Apache Spark
Contributions:41 pushes, 23 branches in 1 year 7 months
spark-mlapachebig-datasparkscala
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