After more than 15 years of developing distributed data platforms processing exabytes of information, I've spent countless hours sifting through official documentation, little-known blogs, and trial and error—all for the sake of simply grasping best practices and real technological trade-offs.
Most educational resources lacked depth. They were either optimized for SEO promotion or sponsored by specific vendors who only spoke about the advantages of their products.
I created the project Start Data Engineering to address this. My goal is to provide engineers with quality, project-based, and accessible content that truly prepares them for the tough realities of the working world. Over 20,000 professionals have already used these guides to enhance their skills.
Three main principles of my courses:
- Practical applicability: You gain knowledge that can be applied in your work right away, rather than just reading and forgetting.
- Code-first approach: All lessons are built on practice, forcing you to learn through real action.
- Honest assessment of trade-offs: No blind faith in tools—I explain all the pros and cons so you clearly understand when and which technology to apply.
