Tal Gluck

Developer Relations

Utrecht, Utrecht, Netherlands
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Summary

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Rockstar
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Top School
Tal Gluck is a Developer Relations professional with nine years of experience bridging engineering, product, and community for data-focused open source projects. Based in Utrecht, he has progressed from data engineer and software engineer roles into advocacy and product management at Great Expectations, contributing backend fixes, dataset profiling enhancements, and visualization tweaks to the flagship data quality project. He combines a strong empirical background in data analysis and automation with hands-on engineering—having scraped, validated, and processed large civic datasets and built tooling that saved teams weeks of manual work. Tal pairs creative design research training (MFA) and human-centered design from Cornell with practical developer-facing skills, making technical concepts accessible to diverse audiences. Currently at GitBook after a developer advocacy stint at GlareDB, he thrives on turning complex data workflows into understandable, testable developer experiences. A detail that stands out: his trajectory blends production engineering, product leadership, and craft-based research, giving him an unusual mix of technical rigor and design sensibility.
code9 years of coding experience
job14 years of employment as a software developer
bookB.S. Design & Environmental Analysis Human Factors & Design Research, B.S. Design & Environmental Analysis Human Factors & Design Research at Cornell University
bookMaster of Fine Arts - MFA Sculpture - Design Research & Digital Fabrication, Master of Fine Arts - MFA Sculpture - Design Research & Digital Fabrication at Indiana University of Pennsylvania
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Stackoverflow

Stats
16reputation
933reached
1answer
0questions
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Github Skills (8)

pandas10
data-quality10
python10
data-engineering10
testing9
exploratory-data-analysis9
great-expectations6
sqlalchemy6

Programming languages (7)

TypeScriptShellRustSCSSJavaScriptJupyter NotebookPython

Github contributions (5)

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Always know what to expect from your data.
Role in this project:
userBack-end Developer
Contributions:2 releases, 572 reviews, 74 commits in 3 years 6 months
Contributions summary:Tal primarily contributed to the back-end logic of the project, as evidenced by the fixes for a value type and for an issue when a type list is None. They also made improvements to basic dataset profiler, including the addition of datetime types and changes to the BulletListContentBlockRenderer. The user also added a new set of tests and modified rendering components, suggesting that they also worked on the visualization side of the project.
pythondatadata-integritydatacleanerpipeline-testing
Great Expectations Airflow operator
Contributions:36 reviews, 81 commits, 34 PRs in 1 year 7 months
great-expectationsdata-qualitydata-sciencedata-testingexpectations
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Tal Gluck - Developer Relations