Goodbye, Data Engineers & Data Analysts
The future of data roles and how they will all combine into one
Learn Analytics Engineering
for the novice or veteran data enthusiast who wants to learn practical analytics engineering skills to apply to their every day work
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Latest posts
Master Dimensional Data Modeling with Claude Code
#3: Data Pipeline Summer: The steps to building a data model and using AI to execute on it
How to Structure an AI-Ready Data Warehouse
#2: Data Pipeline Summer: Best practices for access, PII data, and connecting MCPs
How to Build an AI-Powered Data Pipeline
#1: Data Pipeline Summer: A step-by-step transformation pipeline built with the help of AI
How to Validate Data Models w/ Claude Code
6 prompts I used to catch my mistakes and write a data model that aligns with the business every time
Are the ~vibes~ good?
2 tips for how I evaluate the ~vibes~ of a company while interviewing for an open role, so I'm never in a shitty situation
Stop Full Table Scans
Pruning, Indexing, and Clustering- A deep dive into the skills necessary to build strong foundational knowledge that AI can't replace
How AI Changes 4 Core Data Roles
What are the core skills required for data analysts, data engineers, analytics engineers, and data scientists in the age of AI?
4 Analytic Engineering Fundamentals That Haven't Changed
Because these are still things that AI can't replace and become more important now than ever
I was wrong about semantic layers.
Why semantic layers are more important now than they ever were, and testing out a cool new open-source tool to help you build one effectively
4 Snowflake Summit Hot Topics
What to care about and what to leave behind as analytics engineers in 2026
Death of Data Analysts
Why AI is slowly killing this role as we know it and transitioning it to analytics engineering