Jagdish Parihar
Senior Software Engineer at Endian AI
Bengaluru, Karnataka, India
Summary
🤩
Rockstar🎓
Top SchoolJagdish 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.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Technology - BTech cse, Bachelor of Technology - BTech cse at G.B. Pant Govt. Engineering CollegeBachelor of Technology - BTech Computer Software Engineering, Bachelor of Technology - BTech Computer Software Engineering at Guru Gobind Singh Indraprastha University
Stackoverflow
34reputation
2kreached
1answer
4questions
Github Skills (16)
fusion10
query-engine10
rust10
window-functions10
sql10
testing9
data-structure9
data-structures9
algorithms8
algorithm6
linux6
math6
bit-manipulation6
bitwise-operators6
operator6
Programming languages (8)
Github contributions (5)
apache/datafusion
Jun 2024 - Mar 2025
Apache DataFusion SQL Query Engine
Role in this project:
Back-end Developer
Back-end DeveloperContributions:17 reviews, 14 PRs, 63 comments in 9 months
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.
querypythonquery-enginedataframerust
jatin510/datafusion
Jul 2024 - Mar 2025
Apache DataFusion SQL Query Engine
Contributions:86 pushes, 15 branches in 9 months
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