If I Started Over As A Data Engineer
Create your End To End Portfolio Project Here: https://bit.ly/3Ot81jl
Want the coaching option: https://bit.ly/4vvvFfA
Databricks & Spark Bootcamp: https://trk.udemy.com/Qj19Bz
Modern Data Engineering on Databricks: https://trk.udemy.com/POGQoq
SQL for Data Engineering: https://trk.udemy.com/aOdoyQ
Designing Data-Intensive Applications https://amzn.to/4mserKS
Download the checklist: https://www.gambilldataengineering.co...
Unlock your data engineering career in 2025 with this step-by-step blueprint! Whether you’re just starting out or looking to level up, this guide covers the essential skills, tools, and strategies you need to land high-paying, future-proof data jobs. Learn why Databricks, SQL, Delta Lake, and Spark are must-haves, and discover the real-world playbook for mastering the modern data stack. Includes interview questions, salary insights, and top resources to accelerate your journey.
Book suggestions:
• Designing Data-Intensive Applications https://amzn.to/4mserKS
Udemy suggestions:
Fundamentals of Data Engineering Courses (Udemy):
• Databricks & Spark Bootcamp: https://trk.udemy.com/Qj19Bz
• Modern Data Engineering on Databricks: https://trk.udemy.com/POGQoq
• SQL for Data Engineering: https://trk.udemy.com/aOdoyQ
Databricks Free Edition: https://docs.databricks.com/aws/en/ge...
Chapters:
00:00 – Introduction: Why 2025 is the Year for Data Engineers
00:20 – The Playbook for Landing Data Jobs
00:30 – Step 1: Master SQL in Databricks
00:50 – Databricks Interview Question: SQL Joins
01:30 – Step 2: Delta Lake & Medallion Architecture
02:10 – Delta Lake Interview Question
02:40 – Step 3: Skip Pandas, Learn Spark
03:10 – Spark Interview Question: Lazy Execution
03:40 – Real-World Spark Success Story
04:20 – Salary Insights for Data Engineers
05:00 – Step 4: Automate with Databricks Workflows
05:30 – Workflow Interview Question
06:00 – Step 5: Build Projects with Business Value
06:40 – Business Impact Interview Question
07:10 – Step 6: Databricks Compute Model & Cost Optimization
07:40 – Compute Model Interview Question
08:10 – The Blueprint for Data Engineering Success
08:40 – Top Resources: Books & Courses
09:30 – Final Roadmap & Call to Action
09:50 – Outro: Build Pipelines That Matter