Hi, I'm Eric.
Analytics engineer for a decade. Mentor for five years. Founder of Analytics Engineering because the path I wish I'd had didn't exist — so I built it.
~2 min watch · meet the instructor
I've spent the last decade as an analytics engineer at Disney, Hulu, Nike, Peloton, and Gopuff, designing data layers in dbt, SQL, BigQuery, Snowflake, and Databricks for analysts, scientists, and product teams.
For the last five years I've also mentored people transitioning into data engineering and analytics engineering. Some learners arrived after courses with limited practice writing window functions, shipping dbt models, or explaining fact tables in interviews. I built this platform around those tasks.
Analytics Engineering is the curriculum I wish I'd had. It starts by establishing what you already know, then points you toward the right mix of SQL, data modeling, dbt, APIs, automation, and data-quality work. The capstone is a complete BigQuery + dbt Cloud build you can ship to GitHub, submit for human review, and talk through in interviews.
It's also why the platform is built like this — not as another video bootcamp, but as a practice environment where the editor, schema, and feedback live together. SQL and Python actually run in the page; dbt, modeling, and data-quality work are guided scenarios you reason through. The GPT tutor is there when you're stuck, and the local Analytics Engineering Toolkit is available now for inspecting repositories, reviewing SQL, checking dbt health, profiling data, and investigating quality issues.
If you want a practitioner-led path through SQL, data modeling, dbt, and data-quality work, this is what I built for you.
Outside the platform, I also tutor one-on-one — I'm a 5.0-rated mentor on Codementor with 25 reviews, helping people break into data and analytics engineering one session at a time.
What people say after working with me.
- ★★★★★Mentoring note 01
“Such a great mentor, and so calm and understanding. As a newbie to SQL I found it intimidating, but I appreciate Eric's support throughout. 10/10 would recommend.”
Verified Codementor menteeLearning SQL from scratch - ★★★★★Mentoring note 02
“With only 2 sessions I'm confident I can improve my SQL, Python, and Snowflake skills. Go with Eric — you can't go wrong.”
Verified Codementor menteeSQL · Python · Snowflake - ★★★★★Mentoring note 03
“Walked in terrified of SQL and now I feel ready to learn more. Eric was candid about his experience and shared resources and tips that can help my career.”
Verified Codementor menteeSQL · career advice - ★★★★★Mentoring note 04
“Eric helped a great deal solving issues in Looker. He listened to all the issues and explained in detail what solution could be provided. I'll definitely take his help again.”
Verified Codementor menteeLooker - ★★★★★Mentoring note 05
“Eric is very friendly, and this is the second time he's helped me. He asks good questions to understand the data, then provides a well-thought-out, researched response that solves the problem.”
Verified Codementor menteeData analysis · repeat client - ★★★★★Mentoring note 06
“Very knowledgeable and dealt with my random questions really well. Will work with him again!”
Verified Codementor menteeGeneral mentoring · repeat client - ★★★★★Mentoring note 07
“Working with Eric is great. He's very flexible and adjusts to your schedule, and does his best to find a solution to your problem.”
Verified Codementor menteeFlexible 1-on-1 help
- Practice through implementation. Course lessons connect explanations to browser exercises or guided project work in SQL, modeling, dbt, and data quality.
- Documented, work-shaped datasets. Exercises and projects use realistic business scenarios such as ecommerce orders, sports analytics, and operations data, with the grain and limitations stated.
- Role-focused curriculum. The curriculum covers SQL, data modeling, dbt, data quality, APIs, automation, and stakeholder delivery.
- Honest about effort. This is a serious craft. Your diagnostic starting point may let you skip familiar foundations, but becoming hireable still requires consistent work. The platform is the path; the work is yours.
Start with free analytics engineering practice.
Free practice exercises, the full roadmap, and a library of resources. No credit card.