BigQuery Data Engineering Course

Stop struggling with complex data queries and inefficient pipelines. Learn the advanced BigQuery techniques used by top data engineers at Google, Amazon, and Netflix to process petabytes of data in seconds. Get hands-on, practical skills you can apply immediately.

Query Optimization Mastery

Learn insider techniques to write lightning-fast queries that reduce costs by up to 70%. Understand slot allocation, query caching, and performance tuning strategies that separate top engineers from the rest.

Build Production-Ready Pipelines

Go beyond basic SQL. Master ETL/ELT workflows, data modeling, and orchestration with real-world examples. Build pipelines that handle millions of records daily without breaking a sweat.

Cost Control & Scalability

Stop overspending on cloud infrastructure. Learn how to architect solutions that scale efficiently while keeping costs predictable. Understand partitioning, clustering, and resource management like the experts do.

About the Course

The Ultimate BigQuery for Data Engineering course is designed for data engineers who want to move beyond basic SQL and build enterprise-grade data solutions. Whether you're working with gigabytes or petabytes, this course teaches you the advanced techniques and best practices used by leading tech companies. You'll learn how to optimize queries for speed and cost, design scalable data architectures, and troubleshoot real-world challenges. By the end, you'll have the confidence and skills to architect BigQuery solutions that drive business decisions and handle massive data volumes efficiently. This isn't just theory—every module includes hands-on labs with real datasets so you can practice and master each concept immediately.

About Your Instructor

I spent 8 years as a Senior Data Engineer at Google, where I worked on BigQuery infrastructure serving billions of queries daily. I've optimized pipelines for companies processing terabytes of data, mentored dozens of engineers, and solved some of the toughest data challenges in the industry. I created this course because I saw too many talented engineers struggling with the same mistakes I made early in my career—writing inefficient queries, over-engineering solutions, and wasting thousands on unnecessary cloud costs. My mission is to help you skip those painful lessons and jump straight to mastery. I'm passionate about making advanced data engineering accessible, and I'm excited to share everything I've learned with you.

Curriculum

16 Chapters · 16 Lessons

1
1. (Included in full purchase)
  Free Preview
2
1. (Included in full purchase)
  Data Engineering Basics and BigQuery’s Role
3
1. (Included in full purchase)
  Inside BigQuery Storage, Compute, and Execution
4
1. (Included in full purchase)
  Getting Data into BigQuery
5
1. (Included in full purchase)
  Modeling for Scale
6
1. (Included in full purchase)
  Partitioning, Clustering, and Optimization
7
1. (Included in full purchase)
  Performance and Cost Engineering
8
1. (Included in full purchase)
  ELT with dbt and BigQuery
9
1. (Included in full purchase)
  Apache Beam and Dataflow
10
1. (Included in full purchase)
  Spark and BigQuery Integration
11
1. (Included in full purchase)
  Orchestration with Cloud Composer
12
1. (Included in full purchase)
  Security, Governance, and Data Quality
13
1. (Included in full purchase)
  BigQuery ML and Vertex AI
14
1. (Included in full purchase)
  Real-Time Streaming Analytics
15
1. (Included in full purchase)
  Enterprise Warehouse and ELT Project
16
1. (Included in full purchase)
  Index

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Join hundreds of data engineers who've transformed their careers and cut their cloud costs dramatically.

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