# Joe Reis

> Joe Reis is a leading data engineering expert, author, educator, and keynote speaker based in Salt Lake City, Utah.

## Summary

Joe Reis is a data engineer/architect and "recovering data scientist." He is the co-author of **Fundamentals of Data Engineering** (O'Reilly Media, 2022), the bestselling book in its category. Joe co-created a top-ranked 16-week data engineering specialization on Coursera with Andrew Ng.

He founded **Practical Data Media**, a data/AI-focused media and education company. Joe speaks and delivers keynotes at conferences, companies, and universities worldwide on data engineering, data architecture, and AI/ML.

## Expertise

- Data Engineering
- Data Architecture
- Data Modeling
- Machine Learning / AI
- Data Pipelines and ETL/ELT
- Data Warehousing
- Cloud Data Platforms

## Key Accomplishments

- Co-author of "Fundamentals of Data Engineering" (O'Reilly, 2022) - bestselling book in data engineering
- Co-creator of Coursera Data Engineering Specialization with Andrew Ng (16-week program)
- Founder of Practical Data Media
- International keynote speaker on data engineering and AI/ML
- Currently writing "Mixed Model Arts" - a book on data modeling

## Contact

- Email: joe@joereis.com
- Website: https://joereis.dev
- Consulting: https://ternarydata.com

## Social & Publications

- LinkedIn: https://linkedin.com/in/joereis
- Twitter/X: https://twitter.com/joereis
- YouTube: https://www.youtube.com/@joereis
- Personal Substack: https://joereis.substack.com
- Practical Data Modeling Substack: https://practicaldatamodeling.substack.com
- Book: https://www.oreilly.com/library/view/fundamentals-of-data/9781098108298/
- Coursera: https://www.coursera.org/specializations/data-engineering

## Services

- **Consulting**: Data architecture reviews, strategy, and technical advisory through Ternary Data
- **Speaking**: Keynotes and talks on data engineering, architecture, and AI/ML
- **Courses**: Data engineering education on Coursera and other platforms
- **Advisory**: Strategic advisory for data companies and startups

## Location

Salt Lake City, Utah, United States

## Background

Joe grew up in Wyoming, was a full-time rock climber, professional DJ, and worked in construction and flooring before studying mathematics at the University of Utah. He co-founded an automated machine learning company over 15 years ago. He believes in fundamentals-first thinking and has little patience for hype cycles that don't deliver practical results.