Rajat Venkatesh is a seasoned software engineer with 12 years of deep expertise in distributed databases, query engines, and cloud platforms, currently working at StarTree in Bengaluru. He has driven high-impact projects across companies like LinkedIn, Yugabyte and Qubole—ranging from org-wide observability for Big Data stacks to transactional Change Data Capture and performance-first features for OLAP systems. Rajat combines hands-on systems coding (notably contributions to Apache Pinot’s index-building robustness) with product and team leadership that scaled Presto and Hive usage multi-fold. He’s strong at triaging production latency through tracing and ASH-style sampling, and often bridges compatibility gaps between Postgres semantics and distributed storage. Quietly practical, he pairs deep low-level performance optimizations with customer-facing examples and docs to accelerate adoption.
Apache Pinot - A realtime distributed OLAP datastore
Role in this project:
Back-end Developer
Contributions:239 reviews, 36 PRs, 320 comments in 1 year 3 months
Contributions summary:Rajat primarily contributed to improving exception handling and error messages within the Apache Pinot codebase, specifically during index building processes. They focused on providing more informative error messages, including column names, to aid debugging. Their work also involved creating a reproducer for a JSON parsing error during index build and using the + operator for string concatenation within the code. Additionally, they added support to detect and set a gauge when expired messages are detected within Kafka.
Contributions:1 PR, 1 push, 1 comment in 5 years 4 months
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