I've been working in data since 2013, experiencing the evolution of analytics from data analyst to data scientist to analytics engineer across multiple technology transformations.

My background:

12+ years in data: Witnessed and adapted to changing tools, methodologies, and best practices

Startup experience: Worked across all business functions—marketing, finance, and engineering

Cross-functional expertise: Built analytics solutions for diverse stakeholders and use cases

Scale experience: Designed systems handling millions of rows and serving hundreds of employees

What this means for you: This course isn't just theory—it's built from real-world experience. Every decision, convention, and practice taught here has been tested in production environments. You'll learn what actually works at scale, avoiding common pitfalls and building data infrastructure that companies rely on daily.

My goal: Share battle-tested expertise so you build data stacks correctly the first time, making decisions with confidence that they'll work in real company environments.