Ultimate Data Engineering Interview Prep in 13 Hours | SQL, Python, Spark & Data Modeling

Preparing for Data Engineering interviews?

This comprehensive 13-hour course covers the most important topics asked in Data Engineering interviews, from SQL and Data Modeling to Python, Spark, and PySpark. Whether you're a beginner looking to break into data engineering or an experienced professional preparing for your next role, this course is designed to help you build a strong foundation and confidently tackle interviews.

📌 What You'll Learn
✅ SQL Interview Questions u0026 Problem Solving
✅ Window Functions, CTEs, Joins u0026 Query Optimization
✅ Data Modeling Fundamentals
✅ Star Schema u0026 Snowflake Schema
✅ Fact u0026 Dimension Tables
✅ Slowly Changing Dimensions (SCD)
✅ Data Warehousing Concepts
✅ Python for Data Engineers
✅ Spark Fundamentals u0026 Architecture
✅ Transformations vs Actions
✅ Lazy Evaluation u0026 DAGs
✅ PySpark DataFrame API
✅ Joins, Aggregations u0026 Window Functions in PySpark
✅ Performance Optimization Concepts
✅ Real Interview Questions u0026 Follow-up Discussions

Timestamps:
00:00:00 Plan for next 13 hours
00:02:23 Data Engineering Courses
00:03:53 SQL For Data Engineering
03:07:25 Data Modelling and Warehousing
04:56:57 Python For Data Engineering
07:01:30 Spark Fundamentals
08:52:41 PySpark API

Zero to hero(Advance) SQL Aggregation:
https://youtu.be/5Ighj_2PGV0

Most Asked Join Based Interview Question:
https://youtu.be/xR87ctOgpAE

Solving 4 Trick SQL problems:
https://youtu.be/Ck1gQrlS5pQ

Data Analyst Spotify Case Study:
https://youtu.be/-YdAIMjHZrM

Top 10 SQL interview Questions:
https://youtu.be/Iv9qBz-cyVA

Interview Question based on FULL OUTER JOIN:
https://youtu.be/KQfWd6V3IB8

Playlist to master SQL :
https://youtube.com/playlist?list=PLBTZqjSKn0IeKBQDjLmzisazhqQy4iGkb

Rank, Dense_Rank and Row_Number:
https://youtu.be/xMWEVFC4FOk

#sql #python #spark #datamodeling #dataengineering