Shirish Deshmukh
Software Developer at ME Engineers
Pune, Maharashtra, India
Summary
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RockstarShirish Deshmukh is a seasoned software developer with a decade of hands-on experience in back-end engineering and database systems, based in Pune, India. He contributes to high-impact open-source work, including core fixes and catalog/mysql metastore handling for the SnappyData project—an in-memory analytics platform built on Apache Spark and Apache Geode. At ME Engineers he focuses on building robust server-side components and resolving subtle data-dictionary and prepared-statement inconsistencies, reflecting a pragmatic blend of engineering rigor and operational awareness. Known for digging into core codebase issues, he brings an aptitude for diagnosing edge-case failures and improving reliability in distributed data systems.
10 years of coding experience
Github Skills (8)
javas10
prepared-statements10
sql10
java10
sql-database9
database9
relational-databases9
databases9
Programming languages (4)
Github contributions (5)
TIBCOSoftware/snappydata
Nov 2015 - Mar 2020
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:143 commits, 99 PRs, 277 pushes in 4 years 5 months
Contributions summary:Shirish's commits primarily involve modifications to the core codebase of the SnappyData project, specifically addressing issues related to the data dictionary, catalog repair, and prepared statement execution. These changes include adjustments to the SmartConnector, Hive metastore initialization, and handling of catalog inconsistencies. Additionally, the user has implemented fixes to enable the use of prepared statements with views and addressing issues related to the behavior of connection properties.
memorypredictstreammemory-databasetransact
TIBCOSoftware/snappy-on-k8s
Feb 2018 - Mar 2020
An Integrated and collaborative cloud environment for building and running Spark applications on PKS/Kubernetes
Contributions:61 commits, 12 PRs, 41 pushes in 2 years 1 month
integratedspark-applicationssparkcloudkubernetes
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