Helping Data Teams Succeed One Person at a Time

Simo

Co-founder, Business & Growth

Simo is co-founder of Breakout Labs, where he leads business and growth. After starting his career in software engineering and spending years as a data and analytics engineer, his focus today is on helping data & AI teams adopt new ways of working as the field evolves.

His path into enablement started while working as a consultant, helping teams adopt modern data practices and tools like dbt. He increasingly found that introducing new technology was the easy part. Helping people actually change how they work was much harder.

Over the years, Simo has taught hundreds of data professionals across Europe, the U.S. and India. Today, he brings that practitioner and training experience to Breakout Labs, where he works on turning changes in data & AI work into practical enablement programs that help teams build new capabilities and put them into practice.

Marvin

Co-founder, Product & Brand

Marvin began his career in e-commerce but found his true path in data. After earning a master’s in Business Intelligence and Analytics, he joined a consultancy focused on building modern, large-scale data platforms for enterprise clients.

He became a core expert in dbt, Snowflake and Data Vault, developing automations, leading implementations and eventually building a dbt plus Data Vault training program. That experience sparked his passion for enablement.

In 2023, Marvin started his freelance journey to gain independence and deepen his impact. His long-term goal was always to build something larger with a like-minded team. When he connected with Simo, their shared vision made the next step clear. Marvin continues to support enterprise clients while co-leading the evolution of Breakout Labs’ training content and delivery.

Timo

Analytics Engineering Consultant

Timo spent nearly a decade as a project manager in the shipbuilding and heavy industries, working with enterprises like KONE, Metso and VR. Throughout those years, his curiosity for IT and data kept growing until he made the leap fully into data engineering.

He has built strong hands-on expertise with dbt and Snowflake, designing production-grade data pipelines and analytics solutions. Soon after meeting Simo and Marvin, he joined Breakout Labs as their first team member. Today, he helps shape the company’s growth through high-impact consulting and training for data teams worldwide.

Ly

Platform Engineer

Ly’s passion for data was sparked during university and grew into a career spanning data analytics and analytics engineering, across companies of various sizes and industries. This breadth of experience gave her a well-rounded perspective on data problems and deep hands-on experience with dbt.

In 2025, she came across Simo and discovered Breakout Labs. Their mission resonated with her immediately. She reached out, expressed her interest in contributing, and was fortunate enough to join the team in 2026 as a Platform Engineer. Today, she is focused on helping Breakout Labs’ clients access the best possible learning infrastructure as well as experience, and being part of a team that’s genuinely building something meaningful.

Patrícia

Data & Analytics Engineer, Instructor

Patrícia’s journey into data began during her Master’s in Bioinformatics, where a passion for programming first took root. She started her career in data analytics focused on infrastructure and pipelines, before moving into a role where she built her dbt and Snowflake expertise.

In 2024, a new passion emerged: teaching. She joined a professional training school in Porto as an instructor, where she taught analytics engineering with dbt and BigQuery.

In 2025, she discovered Breakout Labs through Simo in the dbt community, and their mission resonated with her immediately. She joined the team shortly after, pursuing her love for teaching and analytics engineering while embracing the energy of an early-stage startup.

Tim

Analytics Engineering Consultant

Tim started his career in logistics research, studying how much day-to-day operations depend on accurate, timely data. Keeping goods moving meant keeping information flowing, and that sparked his interest in the systems behind it.

He then moved into cybersecurity, building a strong understanding of how to protect systems and data and why trust in a platform has to be designed in from the start. That combination of operational pragmatism and security awareness naturally led him to analytics engineering.

Today, Tim works as an Analytics Engineering Consultant at Breakout Labs, helping teams build data platforms that are reliable, well governed and built to last, bringing the lessons of both worlds to every engagement.

Gideon

Data Architect & Engineer, Instructor

Gideon started as a data consultant at Accenture and founded his own data consultancy, Velocity Sense, in 2017. He is based originally in Washington, DC, focused on helping startups and businesses adopt modern analytics stacks.

Working as both a data architect and hands-on engineer, Gideon has delivered end-to-end data projects, enabled companies to run AI-powered analytics from a single source of truth across diverse industries including e-commerce, solar energy, healthcare, marketing, and logistics.

Guided by the principle of "Measure Twice, Cut Once" — prioritizing careful planning over speed, he believes that understanding each business’s unique core challenges is the foundation of every successful project.

Samuele

Senior Data Engineer, Instructor

Samuele 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.

Samuele 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.

Samuele 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.

Miguel

Data Engineer, Instructor

Miguel started in software engineering before moving into data engineering, where he focuses on building reliable and well-structured data platforms. He has worked across consulting, small companies, and now at a large tech company, giving him experience working in very different data environments.

Miguel works extensively with Snowflake, dbt, and modern ELT tools to design and maintain production-grade pipelines, with a strong focus on consistent metrics and clean, scalable data models.

Alongside his hands-on work, Miguel delivers training in Foundational and Advanced Analytics Engineering, with an emphasis on practical approaches that teams can adopt straight away. His focus is on helping teams build confidence and autonomy in their data stack.

Bijil

Data & Analytics Engineer, Instructor

Bijil started in academia before pivoting to data engineering as a consultant at Mantel Group in Sydney, where he built deep expertise working with leading Australian enterprises across retail, finance, energy and marketing — spanning greenfield builds, brownfield migrations and everything in between.

Drawn to the variety of client work, he founded Nimblestax, a fractional data practice serving teams across the UK, US, Europe and APAC. His work spans analytics uplift, data and experimentation platforms, and laying data foundations for startups and enterprises, working hands-on with dbt, Snowflake, BigQuery, Databricks and Dagster, underpinned by strong software engineering practices.

For Bijil, the most rewarding work sits at the intersection of strategy and execution — helping teams not just ship the platform, but build the confidence and habits to own it long after the engagement ends.

Andy

Data Platform Engineer, Instructor

Andy is a data platform engineer, specializing in applying software engineering best practices within dbt and Snowflake to build reliable, scalable data products.

His journey to analytics engineering was a blend of chemical engineering, manufacturing, and computer science. He wasn't looking for just another tool; he wanted data products that mirrored the reliability of physical production. That search led him straight to dbt - a perfect fit where software engineering meets data operations.

Since 2022, Andy has solved increasingly complex data problems with dbt and Snowflake. Now, working with Breakout Labs, he channels that passion into sharing real-world insights to help students build robust analytics solutions from day one.