Arnav Borkar
Data Ecosystem Lead focusing on lakehouse metadata and query performance
arnav-borkar
Goa, India
Joined July 2026
Network
3.7K connectionsSummary
Practical expertise in large-scale data platform performance and metadata engineering: Arnav focuses on tackling metadata-driven bottlenecks in modern lakehouse environments (Apache Iceberg), developing streaming metadata reads, layered pruning strategies, and treating metadata as first-class queryable data to prevent planner OOMs and speed up planning. sessionize+1
Academic and systems research background in HPC and storage systems: as an undergraduate researcher at the DaSH Lab, Arnav co-authored peer-reviewed work on parallel file systems and HPC I/O performance (including BeeGFS experiments) and contributed to lab publications. dashlab+1
Active community speaker and technical communicator: Arnav presents technical talks about lakehouse metadata and query-engine scalability (Sessionize speaker profile, conference and meetup talks, and a YouTube talk on tackling Iceberg metadata), indicating engagement with open-source lakehouse communities. sessionize+2
Student leadership and applied engineering during studies: during his time at BITS Pilani (Goa) Arnav combined organizational leadership (e.g., Secretary-General at BITSMUN Goa) with hands-on software and research roles, showing a mix of extracurricular leadership and technical contributions. theorg+1
Work
Education
Writing
Metadata at Scale: Tackling Apache Iceberg Tables with Tens of Millions of Files
October 1, 2025Engineering blog post describing production techniques to handle massive Apache Iceberg metadata: streaming metadata reads, layered partition+file pruning, and treating metadata as queryable data to avoid planner OOMs and improve query planning.
Does Varying BeeGFS Configuration Affect the I/O Performance of HPC Workloads?
January 1, 2023Conference paper presenting experiments and analysis on how BeeGFS configuration choices impact I/O performance for HPC workloads.
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