Become a 10x Data Engineer With AI

10x Data Engineer Roadmap: Five Steps

Unlock your potential as a data engineer and become the MVP who makes AI work at your company! This video covers the five essential steps to becoming a 10x data engineer. Each chapter is a key step in the roadmap.

Affiliate Resources (Books)
Resources discussed in the video:
Designing Data-Intensive Applications — Martin Kleppmann
https://amzn.to/45QIzci

Fundamentals of Data Engineering — Joe Reis, Matt Housley
https://amzn.to/4lMN3Xh

Data Governance — John Ladley
https://amzn.to/4myGcBZ

Storytelling With Data — Cole Nussbaumer Knaflic
https://amzn.to/4lH98pZ

Always good to have for any DE:
The Data Warehouse Toolkit — Ralph Kimball, Margy Ross
https://amzn.to/45Sd0yH

SQL Performance Explained — Markus Winand
https://amzn.to/4lOy1QK

The Pragmatic Programmer — Andrew Hunt, David Thomas
https://amzn.to/47eXsaz

Resources (Udemy courses to pair with your reading)

• The Complete SQL Bootcamp: Go from Zero to Hero — Jose Portilla
https://trk.udemy.com/N9qkav


• Taming Big Data with Apache Spark 4 and Python - Hands On!
https://trk.udemy.com/vPaNdO


• The Complete Hands-On Introduction to Apache Airflow 3 — Marc Lamberti
https://trk.udemy.com/3JNe1X

Chapters:

00:00 - Introduction
00:30 - Step 1: Own the Data Ingestion Pipeline
01:50 - Step 2: Architect Smart Storage
03:30 - Step 3: Master Feature Engineering
05:10 - Step 4: Champion Governance and Ethics
07:00 - Step 5: Align Pipelines with Business Outcomes
09:40 - Conclusion