James Starr is a Senior Staff Engineer in the San Francisco Bay Area with six years of focused experience designing and building scalable distributed systems and data platforms. He currently drives SQL engine and security features at Dremio, leading work on UDFs, row/column permissions, filter pushdown, and correlated query improvements. His background includes optimizing SQL databases for extreme load reductions, parallelizing data integrations, and architecting distributed analytics for interactive ad-hoc querying. An active contributor to Apache Calcite, he has deep expertise in SQL parsing, validation, and query optimization—work that surfaces in real-world performance wins. Colleagues describe him as a pragmatic systems thinker who pairs low-level SQL internals knowledge with product-minded engineering.
6 years of coding experience
14 years of employment as a software developer
New Mexico Institute of Mining and Technology
computer science, computer science at San Francisco State University
Contributions:53 reviews, 9 commits, 43 PRs in 1 year 1 month
Contributions summary:James's commits primarily focus on enhancing the Apache Calcite project, specifically addressing issues related to SQL parsing, validation, and query optimization. They've implemented the Oracle SUBSTR function and refactored code related to join processing within the SQL-to-relational conversion framework. Furthermore, the user has worked on expanding columnar identifiers and rewriting join conditions, demonstrating a strong understanding of SQL internals and query processing. These contributions suggest a focus on core functionality and improving the performance of the SQL engine.
Contributions:35 commits, 1 PR, 18 pushes in 1 month
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