Colin Dietrich is a Senior Data Scientist with 11 years of experience building production-ready analytics and ML systems that connect business strategy to operational impact. Based in Seattle, he has led greenfield record linkage and large-scale ETL efforts—matching tens of thousands of records into 100M+ candidate pairs—and designed central data warehouses and observability pipelines for enterprise customers. His background spans research-grade sensor and IoT programs at NOAA to commercial productization of precision photonic instruments, showing a rare blend of experimental hardware integration and scalable software engineering. At SADA he combined LLMs, vector search, BigQuery at multi-TB scale, and practical feature engineering to create RAG agents and upsell-trigger analytics, and he contributed data-pipeline work to a prominent Google Cloud data-science repo. Comfortable operating autonomously and advising leadership, he mentors junior engineers and turns ambiguous domain problems into measurable, reproducible solutions.
11 years of coding experience
11 years of employment as a software developer
Master of Science (MS), Mechanical Engineering, Master of Science (MS), Mechanical Engineering at University of Washington
Bachelor of Science (BS), Mechanical Engineering, Bachelor of Science (BS), Mechanical Engineering at Henry Cogswell College
Bachelor of Science - BS, Environmental Science, Bachelor of Science - BS, Environmental Science at Western Washington University
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
Role in this project:
Data Engineer
Contributions:10 commits, 1 PR in 10 days
Contributions summary:Colin primarily contributed to data pipeline and transformation code within the project. Their commits focused on modifying Python scripts (df04.py, df05.py, df06.py) using the Apache Beam framework, and modifying BigQuery schema. They implemented timezone corrections and other data transformations, suggesting work on data ingestion and preparation for analysis within the Google Cloud Platform. The user also added updates to the installation scripts to manage dependencies.
Contributions:16 commits, 15 pushes in 1 year 8 months
renderchartspythondataframesdata-science
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.