Mukul Murthy

San Francisco Bay Area United States

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Summary

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Rockstar

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Top School

Mukul Murthy is a systems and backend software engineer based in the San Francisco Bay Area with about a decade of hands-on experience building robust streaming and data systems. He has contributed significant fixes and features to high-profile open-source projects like Apache Spark and Delta Lake, improving structured streaming reliability (including LIMIT support) and state management for microbatch and continuous processing. Mukul’s work on the Databricks CLI and Delta repos shows attention to production-readiness—bug fixes, serialization correctness, flaky test resolution, and clearer documentation. He pairs deep backend implementation skills with practical operational awareness, ensuring APIs and tooling behave predictably under load. Notably, his contributions often focus on subtle, high-impact areas (thread pool sizing, JSON null handling, streaming query manageability) that improve long-running data pipelines.

8 years of coding experience

University of California, Berkeley

Github Skills (22)

debug10

spark10

python-click10

delta-lake10

python10

api-design10

testing10

command-line-interface10

big-data10

java10

scala10

javas10

command-line10

python-lib10

streaming10

Programming languages (6)

ShellScalaJavaScriptHTMLRubyPython

Github contributions (5)

databricks/databricks-cli

Dec 2019 - Mar 2021

(Legacy) Command Line Interface for Databricks

Role in this project:

Back-end Developer

Contributions:4 releases, 35 reviews, 11 commits in 1 year 3 months

Contributions summary:Mukul primarily contributed to the development and maintenance of the Databricks CLI, focusing on the Delta Pipelines functionality. Their work included adding new commands for pipeline management (get, reset), fixing request paths, and ensuring the correct handling of pipeline IDs. They also improved the CLI documentation and wrote unit tests to validate their changes. Further contributions involved bumping the version number and refactoring the service to use a generated version.

command-line-interfacedatabrickscli

delta-io/delta

Apr 2019 - Nov 2019

An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs

Role in this project:

Back-end Developer

Contributions:1 review, 11 commits, 46 PRs in 6 months

Contributions summary:Mukul Murthy contributed to the Delta project by fixing bugs, improving code quality, and enhancing the system's robustness. His work included updating comments to match the README, ensuring the inclusion of null fields when serializing Delta metadata, and fixing configurations. Furthermore, he addressed an issue related to DeltaSourceOffset, preventing the writing of null JSON fields, and refactored import statements. Additionally, Mukul resolved a flaky test and removed an unnecessary step in the build process.

analyticsprestodbflinkbig-dataspark

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