Mark Jackson is a Senior Data Scientist in Philadelphia with 10 years of experience building data platforms and pipelines for translational and transcriptomic research. He leads AWS-based data management at Johnson & Johnson Innovative Medicine, supporting single-cell RNA workflows, TileDB, and internal catalogs while bridging collaborators and engineering teams. Previously he designed SciDB schemas and developed reproducible processing tools in Python, R, and Bash to standardize complex omics datasets. An active open-source backend contributor, he improved metrics and test integrations for the popular Jenkins Prometheus plugin, reflecting a pragmatic focus on observability and reliability. Outside work he blends analytical rigor with creative curiosity—pursuing culinary exploration, bass fishing, and rooting for the SF Giants.
10 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of Technology
Contributions:12 releases, 176 reviews, 279 commits in 4 years 3 months
Contributions summary:Mark primarily contributed to the backend logic of the Jenkins Prometheus plugin. Their work included adding new metrics, such as build success and failure counts. The user also made changes to existing metrics and configurations, including integrating test result fetching and implementing a fix for node-specific builds. These changes likely improved the plugin's functionality and data collection capabilities.
How to run the Equinix Metal Tinkerbell stack locally with ease of use
Contributions:4 reviews, 54 commits, 15 PRs in 1 year 6 months
metalequinixtinkerbellequinix-metallocally
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