Vatsal Mevada

Senior Staff Engineer at Cloudera

India
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Summary

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Vatsal Mevada is a Senior Staff Engineer with 11 years of experience building scalable distributed systems, currently focused on database internals and Apache Spark streaming at Cloudera. He has deep hands-on experience implementing streaming sinks, addressing event conflation/filtering, and upgrading core integrations in projects like SnappyData, reflecting a strong grasp of low-latency ingestion and storage semantics. His background spans ETL and distributed processing frameworks, R/SparkR support, and practical production work with Kafka and Geode, enabling end-to-end streaming solutions. An active open-source contributor, he has added cross-language utilities and streaming context fixes that improve robustness in community projects. Based in India, he combines systems-level engineering with a knack for pragmatic fixes that prevent operational issues, such as proper resource lifecycle and default callback handling.
code11 years of coding experience
job14 years of employment as a software developer
bookB.Tech, Computer Engineering, B.Tech, Computer Engineering at Nirma University
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5,398reputation
883kreached
58answers
67questions
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apache-kafka
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Github Skills (27)

spark10
python10
analytics10
java10
scala10
javas10
physics10
apache-kafka10
streaming10
memory-database9
kafka9
in-memory-database9
fest9
data-structures8
data-structure8

Programming languages (4)

TypeScriptJavaScalaJavaScript

Github contributions (5)

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TIBCOSoftware/snappydata

Aug 2018 - Apr 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:
userBack-end Developer
Contributions:21 commits, 77 PRs, 209 pushes in 7 months
Contributions summary:Vatsal primarily focused on enhancing the streaming context within the SnappyData project, an in-memory analytics database built on Apache Spark and Geode. Their contributions involved properly fetching and closing the active Snappy streaming context, addressing configuration issues, and implementing default sink callbacks to handle streaming data. Furthermore, the user updated the project by upgrading the Kafka version and modifying the API of `SnappyStoreHiveCatalog`. The user also addressed conflation and filtering of incoming events.
memorypredictstreammemory-databasetransact
Math is fun so let's make some scripts and or programs that use some of your favorite math formulas and functions.
Role in this project:
userBack-end Developer
Contributions:7 commits, 6 PRs, 1 comment in 5 days
Contributions summary:Vatsal primarily contributed to the project by implementing mathematical formulas and functions. They developed Java programs for the sigmoid function and Ohm's law calculations, adding functionality for physics-related computations. Furthermore, the user extended these calculations to Python, creating scripts for Ohm's law and the sigmoid function, thus enhancing the repository's functionality with diverse programming languages.
mathcomputer-algebra-systemformulasmathematicsjavascript
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Vatsal Mevada - Senior Staff Engineer at Cloudera