Pratyaksh Sharma is a Senior Open Source Developer with 7 years of experience specializing in backend systems and big data engineering, currently working at Ahana (an IBM company). An Apache Hudi committer and contributor to Presto and Apache CarbonData, he has driven core refactors and performance-focused improvements in widely used distributed data projects, including integrating geospatial capabilities into Presto. He has hands-on experience migrating data platforms from batch to near-real-time pipelines, evaluating CDC solutions and building scalable ETL systems at companies like Ola and Ola Financial Services. A graduate of IIT (BHU) Varanasi with a strong electronics background, he pairs deep systems knowledge with practical delivery under tight deadlines. Notably, his contributions touch the internals of popular open-source engines that power analytical workloads at scale, reflecting both code-level craftsmanship and production-operational insight. Pragmatic and results-driven, he blends research-caliber rigor from early research internships with proven impact in high-throughput, real-world systems.
6 years of coding experience
5 years of employment as a software developer
Higher Secondary Education, Physics, Chemistry, Mathematics, 89.8%, Higher Secondary Education, Physics, Chemistry, Mathematics, 89.8% at Modern Senior Secondary School, Kota
Middle Education, 97%, Middle Education, 97% at Kendriya Vidyalaya, Baran
Bachelor’s Degree, Electronics, 8.87/10, Bachelor’s Degree, Electronics, 8.87/10 at Indian Institute of Technology (Banaras Hindu University), Varanasi
Upserts, Deletes And Incremental Processing on Big Data.
Role in this project:
Back-end Developer
Contributions:226 reviews, 45 commits, 69 PRs in 3 years 1 month
Contributions summary:Pratyaksh's contributions focused on improving the codebase by simplifying methods, replacing deprecated functions, and adding validations. They refactored and optimized various components, including `HoodieDefaultTimeline`, `HoodieWriteClient`, and CLI commands. The changes involved enhancements to existing classes and methods within the Apache Hudi framework, suggesting a focus on improving data processing performance and stability. The commits highlight the user's involvement in the core logic of the data lake framework.
The official home of the Presto distributed SQL query engine for big data
Role in this project:
Back-end Developer
Contributions:174 reviews, 6 commits, 41 PRs in 3 months
Contributions summary:Pratyaksh refactored and moved geospatial code within the Presto codebase, specifically addressing the removal of the presto-geospatial module and its associated dependencies. They also made changes to the `BuiltInTypeAndFunctionNamespaceManager.java` file, integrating geospatial functions and types, including GEOMETRY and BING_TILE, and adding related scalar functions and aggregation functions. The user contributed to the restructuring of code related to geospatial functionality, streamlining its integration within the core Presto engine.
distributed-sqlquerybigdataquery-enginesql
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