Austin Robinson
Self Employed
South Jordan, Utah, United States
Summary
🤩
Rockstar🎓
Top SchoolAustin Robinson is a Product Expert Technical Lead with 7 years of experience helping data teams ship user-centered, production-ready analytics and ML solutions at speed. He blends hands-on data engineering and backend work—contributing to well-known open-source project Great Expectations—with product leadership and Scrum-certified delivery practices. At Hex he supports data professionals in turning analysis into impactful tooling, drawing on prior roles as a developer advocate and data scientist for defense and logistics programs. A lifelong musician who has performed and taught across four continents, he brings a creative, communicative approach to technical mentoring and community building.
7 years of coding experience
6 years of employment as a software developer
Fellowship Data Analytics | Data Engineering | Machine Learning, Fellowship Data Analytics | Data Engineering | Machine Learning at BloomTechHigh School, High School at Cedar City High SchoolSouthern Utah UniversityJazz/Jazz Studies, Jazz/Jazz Studies at Brigham Young University
Stackoverflow
46reputation
2kreached
2answers
0questions
Github Skills (11)
data-quality10
sqlalchemy10
back-end-development10
python10
data-engineering10
testing8
apache-spark6
pandas6
great-expectations6
databricks6
pyspark6
Programming languages (2)
Github contributions (5)
great-expectations/great_expectations
Nov 2021 - Jan 2023
Always know what to expect from your data.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:484 reviews, 283 commits, 420 PRs in 1 year 2 months
Contributions summary:Austin primarily contributed to the back-end functionality of the Great Expectations project. Their work focused on improving the codebase by adding utilities for handling deprecation warnings related to SQLAlchemy and implementing a new expectation to validate data. These changes involved modifying core engine files and adding support for new features. Additionally, the user addressed multiple bug fixes and documentation updates, demonstrating a commitment to maintaining a robust and user-friendly data quality framework.
pythondatadata-integritydatacleanerpipeline-testing
voidforall/great_expectations
Mar 2022 - Apr 2022
Always know what to expect from your data.
Contributions:46 pushes in 15 days
data-analysispythondatadata-science
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