Piyush Bisen
Lead Engineer III at John Deere
Pune, Maharashtra, India
Summary
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Rockstar🎓
Top SchoolPiyush Bisen is a Lead Engineer III based in Pune with over a decade of experience designing and shipping C++/Qt software and a proven track record of leading teams and earning rapid promotions. He has strong hands-on expertise in backend and database engineering, including contributions to the SnappyData project to improve Spark compatibility and ODBC failover reliability. Known for rigorous code reviews, mentorship of junior engineers, and end-to-end ownership, he thrives in environments that value independent problem-solving and continuous improvement. His background spans enterprise engineering at John Deere and TIBCO after earlier work on defense and GIS-related systems, reflecting both breadth and domain depth. A pragmatic technologist, he pairs academic training in GIS (M.Tech) with practical experience modernizing analytics and database integrations.
7 years of coding experience
12 years of employment as a software developer
Rajiv Gandhi Proudyogiki VishwavidyalayaMaster of Technology (M.Tech.), GIS, 7.95 CGPA, Master of Technology (M.Tech.), GIS, 7.95 CGPA at Devi Ahilya Vishwavidyalaya
Hindi, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (10)
apache-spark10
databases10
sql10
relational-databases10
analytics10
sql-database10
database10
testing9
javas8
java8
Programming languages (2)
Github contributions (4)
TIBCOSoftware/snappydata
Apr 2019 - Dec 2019
Project SnappyData - memory optimized analytics database, based on Apache Spark™ and Apache Geode™. Stream, Transact, Analyze, Predict in one cluster
Role in this project:
Back-end Developer / Database Engineer
Back-end Developer / Database EngineerContributions:9 commits, 19 PRs, 62 pushes in 7 months
Contributions summary:Piyush focused on enhancing the SnappyData database's compatibility with Apache Spark and other external tools. Their contributions primarily involved modifying the SQL catalog to ensure case-insensitive behavior for database and table listings, aligning with Spark conventions. They addressed pre-checkin failures and updated associated tests to accommodate these changes. Additionally, the user implemented a new test for ODBC FailOver functionality, enhancing the system's reliability.
memorypredictstreammemory-databasetransact
bisenpiyush/import-gtest-into-existing-cmake-project
Jan 2021 - Jan 2021
Contributions:5 pushes, 1 branch in 1 day
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