Jagdish Parihar is a Senior Software Engineer based in Bengaluru with 8 years of experience building high-throughput, cloud-native backend systems using Rust, Go, and Node.js. He’s re-architected crawlers and analytics pipelines—rewriting a Python crawler in Rust to achieve 5x throughput and designing aggregation engines that sustain 25–30K events/sec for 1M+ DAU. Jagdish drives reliability and observability at scale, standardizing OpenTelemetry across microservices to cut MTTR by 30% while surfacing hidden performance bottlenecks. An active Apache DataFusion contributor, he refactored core window-function implementations into modular user-defined window functions and added tests and docs for long-term maintainability. He pairs hands-on performance engineering with mentoring and tooling improvements, making systems both faster and easier for teams to evolve.
Contributions:17 reviews, 15 PRs, 67 comments in 1 year
Contributions summary:Jagdish primarily contributed to the implementation and refactoring of window functions within the Apache DataFusion SQL query engine. Their work involved converting built-in window functions like `rank`, `dense_rank`, `percent_rank`, and `ntile` into User-Defined Window Functions (UDWFs). The contributions included the creation of new files, modifying existing code, and adding unit tests to ensure the correct functionality of these window functions. The user's changes included refactoring code to reduce duplication and updating the documentation and build configuration files.
Contributions:35 pushes, 3 branches in 1 year 1 month
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