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 instructor
Started in e-commerce before finding his path in data.
After earning a master's in Business Intelligence and Analytics, he joined Scalefree, a consultancy specializing in modern, large-scale enterprise data platforms.
He became a core expert in dbt, Snowflake, and Data Vault - developing automations and leading implementations.
After building a dbt + Data Vault training program, his passion for enablement was sparked, he then went freelance in 2023 to seek independence and greater impact.
Marvin connected with Simo around a shared vision, leading to the founding of Breakout Labs.
He then 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.
Afterwards, he moved to Sydney where he worked in data consulting, designing and delivering data platforms across industries.
He then joined Canva as a Senior Data Engineer and later Tech Engineering Lead, working on large-scale analytics pipelines powered by dbt and Snowflake.
He had helped grow the analytics engineering practice and mentored engineers as the team expanded across Canva.
Samuel returned to Bologna, continued to build modern data platforms as a Data Engineer specialising in dbt and Snowflake
He now teaches dbt to help teams adopt analytics engineering best practices and build reliable, scalable data workflows.