Thomas D'silva is a seasoned software engineer with 11 years of experience building high-performance query engines and streaming/batch data platforms, currently contributing to Apple's GenAI data platform from Dublin, California. He has a proven track record designing and optimizing distributed SQL and analytics systems—from leading planner work on Voltron Data’s GPU-backed Theseus to implementing Calcite-based query and materialized view support for Twilio’s Kudu-backed engine. At Salesforce he made significant open-source contributions to Apache Phoenix, adding functional indexing, transaction support, and encoding schemes that improved OLTP and operational analytics on HBase. Comfortable across JVM backend stacks and metadata/indexing internals, he excels at turning complex query semantics into performant execution and storage optimizations. An applied systems thinker, he pairs deep database engineering expertise with hands-on work in streaming pipelines and catalog integrations, and has repeatedly delivered features that improve both query latency and storage efficiency.
11 years of coding experience
18 years of employment as a software developer
MS Computer Engineering, MS Computer Engineering at The University of Texas at Austin
BS Computer Engineering, BS Computer Engineering at Illinois Institute of Technology
Contributions:2 reviews, 800 commits, 63 PRs in 4 years 6 months
Contributions summary:Thomas primarily worked on bug fixes and enhancements to the Apache Phoenix database system. Their contributions involved addressing issues related to index optimization, handling exceptions, and supporting features like function index using REGEXP_SUBSTR. They also improved the performance of the direct HBase API for index builds and implemented changes to ensure backward compatibility. They have also worked on improving the metadata and row column related functionality
Contributions:1 PR, 114 pushes, 23 branches in 2 years
kuduapache-calciteapacheadapterjava
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