Over the last decade, I've built highly scalable distributed data platforms and helped companies scale to processing multiple exabytes of data. My mission is to bring software practices followed by top tech companies to data engineering and help data engineers level up. I help data engineers land high paying tech jobs and significantly up skill themselves.
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Hello Reader, Data engineering job requirements keep getting longer. And with LLMs generating code, it's getting harder to know which skills are actually worth your time. The engineers who stay in demand are the ones who know how to build pipelines that just chug along, no matter what's thrown at them. I made a cheatsheet that breaks down the fundamentals and best practices that set them apart. 👉 [Download it free here]​ In my Data Engineering Course launching April 26th, I cover the fundamentals and best practices by implementing them with in-demand tools (including Spark and Airflow). Enrollment is capped at 75 students. If you want early access to sign up, reply to this email, and I'll send you the link before it opens to the public. Regards, Joseph Machado P.S. This is part of a short launch sequence for my Data Engineering Course. If you'd rather not receive these launch emails, [click here] — you'll still get my regular content. |
Over the last decade, I've built highly scalable distributed data platforms and helped companies scale to processing multiple exabytes of data. My mission is to bring software practices followed by top tech companies to data engineering and help data engineers level up. I help data engineers land high paying tech jobs and significantly up skill themselves.