Jalpreet Nanda
Staff Software Engineer at Presto Foundation
Bengaluru, Karnataka, India
Summary
🤩
Rockstar🎓
Top SchoolJalpreet Nanda is a Staff Software Engineer with 11 years of experience building high-performance, cloud-native data platforms and query engines. Based in Bengaluru, he has driven large-scale analytics at Walmart Global Tech and helped take Ahana from early-stage to GA and acquisition by IBM, now contributing to IBM watsonx.data. He specializes in distributed SQL (Presto), data lakehouse architectures, and cost-effective multi-cloud solutions that serve thousands of monthly users and petabyte-scale workloads. An active open-source contributor, he has directly modified Presto to integrate Hive 3.0 components and fixed ORC-related test failures, demonstrating deep compatibility and systems-level expertise. Known for mentoring engineers and presenting at community conferences, he blends hands-on backend engineering with product- and ops-minded delivery. Less obvious: he repeatedly bridges vendor and open-source ecosystems to accelerate adoption and production readiness of cutting-edge data infrastructure.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Technology (B.Tech. Honours) Computer Science and Engineering, Bachelor of Technology (B.Tech. Honours) Computer Science and Engineering at International Institute of Information Technology Hyderabad (IIITH)
Github Skills (7)
javas10
hive10
presto10
java10
orc9
sql9
big-data9
Programming languages (8)
Github contributions (5)
prestodb/presto
Dec 2020 - Apr 2022
The official home of the Presto distributed SQL query engine for big data
Role in this project:
Back-end Developer
Back-end DeveloperContributions:650 reviews, 14 commits, 138 PRs in 1 year 4 months
Contributions summary:Jalpreet primarily focused on updating the Presto distributed SQL query engine to utilize new features and dependencies from Hive 3.0.0. Their contributions involved refactoring and forking classes, such as the BloomFilter class, from Apache Hive to ensure compatibility and functionality within the Presto environment. The changes also addressed and fixed unit test failures related to the ORC and Presto-orc plugins.
big-dataprestosql-queryjavahive
imjalpreet/velox
Jun 2023 - Jun 2025
A C++ vectorized database acceleration library aimed to optimizing query engines and data processing systems.
Contributions:1 PR, 30 pushes, 4 branches in 2 years
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