Advanced Analytics Engineering 

An advanced, hands-on program designed to help data teams build scalable, production-grade analytics with dbt and leading cloud warehousing solutions. Focused on real-world architecture, performance, and best practices, it enables organizations to turn their data platform investment into reliable, high-quality data products.

Length & format

3-day instructor-led training (virtual or on-site)

Why take this course?

Take your dbt skills to the next level and learn how to design and build production-grade analytics projects.

Who is this for?

For analytics engineers, developers, and technical POs/PMs who know the basics of dbt and want to deepen their skills.

What is expected from you?

You should already be familiar with dbt fundamentals: models, sources, tests, and the basics of dbt Cloud. Solid SQL skills are a must.

What you will learn?
  • Capture historical changes with snapshots and manage static data (CSV) using seeds
  • Build fast, scalable models with incremental strategies
  • Optimize dbt models for cost and performance
  • Use dbt Packages to reuse logic and standardize across teams
  • Design production-ready, governed data products
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Build the skills your data team needs to adopt and scale modern analytics and AI-native workflows.
Our experts design and deliver training tailored to your data platform, architecture and use cases.

Hands-on learning

Work through realistic labs and exercises based on modern data team workflows and production environments.

Learn from experts

Our instructors are analytics practitioners who build and run production data platforms.

Built for modern data teams

Learn the practices behind scalable analytics engineering and AI-native data workflows used by leading organizations.

Meet your trainers

Marvin Geerken

Co-founder, Lead Trainer
Started in e-commerce before finding his path in data
Earned a master's in Business Intelligence and Analytics
Joined Scalefree, a consultancy specializing in modern, large-scale enterprise data platforms
Became a core expert in dbt, Snowflake, and Data Vault - developing automations and leading implementations
Built a dbt + Data Vault training program, sparking his passion for enablement
Went freelance in 2023 seeking independence and greater impact
Connected with Simo around a shared vision, leading to the founding of Breakout Labs
Continues to support enterprise clients like Siemens while co-leading Breakout Labs' training content and delivery

Samuele Crescenti

Instructor
Began his data career in Bologna after studying Computer Science at the University of Bologna, working on early data warehousing and analytics projects
Moved to Sydney where he worked in data consulting, designing and delivering data platforms across industries
Joined Canva as a Senior Data Engineer and later Senior Analytics Engineer / Tech Engineering Lead, working on large-scale analytics pipelines powered by dbt and Snowflake
Helped grow the analytics engineering practice and mentored engineers as the team expanded across Canva
Returned to Bologna, continuing to build modern data platforms as a Data Engineer specialising in dbt and Snowflake
Teaches dbt to help teams adopt analytics engineering best practices and build reliable, scalable data workflows