Mark Grover
Greater Seattle Area United States
Summary
🤩
Rockstar🎓
Top SchoolMark Grover is a founder and product leader with 14+ years building data infrastructure, metadata, and trust layers that make analytics actually usable across organizations. He co-founded Stemma (acquired by Teradata) after leading creation of Lyft’s open-source data catalog Amundsen, and has raised venture funding while shipping PageRank-style lineage search used by customers like Airtable and Flexport. A former Spark engineer at Cloudera and long-time Apache committer across projects such as Spark, Bigtop, Sentry, and Spot, he blends deep systems-level engineering with go-to-market and product execution. Mark now consults directly with select clients to enable reliable, policy-aware AI agents over enterprise data, doing both strategy and hands-on implementation. Less obvious: his background spans low-level embedded work at Qualcomm to large-scale streaming and packaging efforts, giving him a rare end-to-end view from device to petabyte analytics. Based in the Seattle area, he pairs open-source stewardship with a track record of turning researcher-grade systems into production products.
13 years of coding experience
16 years of employment as a software developer
Bachelor of Applied Science and Engineering Computer Engineering, Bachelor of Applied Science and Engineering Computer Engineering at University of Toronto
Stackoverflow
4,080reputation
693kreached
51answers
0questions
hive
top-1%
hadoop
top-1%
amazon-ec2
top-5%
hiveql
top-1%
Github Skills (30)
spark10
big-data10
hadoop10
java10
scala10
javas10
hive10
automation10
hiveql10
build-automation10
yarn310
yarnpkg10
yarn-berry10
yarn210
automations10
Programming languages (7)
Github contributions (5)
apache/bigtop
Nov 2012 - Mar 2015
Bigtop is an Apache Foundation project for Infrastructure Engineers and Data Scientists looking for comprehensive packaging, testing, and configuration of the leading open source big data components.
Role in this project:
DevOps Engineer
DevOps EngineerContributions:24 commits in 2 years 4 months
Contributions summary:Mark primarily focused on updating and maintaining build and deployment scripts, as well as adjusting service configurations within the Bigtop project. They bumped HBase and Pig versions and made changes to HDFS initialization scripts and service files. The contributions also include the addition of tests and changes related to Hive and HCatalog. The changes indicate a focus on automating and improving the build and deployment process for big data components.
javaapachebig-databigtop
apache/spark
May 2017 - May 2017
Apache Spark - A unified analytics engine for large-scale data processing
Role in this project:Back-end Developer
Back-end DeveloperContributions:1 commit, 26 PRs, 243 comments in 1 day
Contributions summary:Mark primarily contributed to bug fixes and improvements within the Apache Spark project. They addressed issues related to YARN integration, metrics, Python examples, documentation, and redaction of sensitive information in logs and UI. The contributions span across multiple modules, including core, SQL, and UI, demonstrating a broad understanding of the project's architecture. The user's work enhanced the security and usability of Spark, addressing various aspects of its operations and user experience.
analyticspythondata-processingsqlapache
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