Ferdinand van Butzelaar — Founder
Tech Leader in Databricks, Platform Architecture & Engineering Every organization says it wants to be data-driven. Very few actually build the platform to make it real. The gap. Data platforms grow organically. One team builds a pipeline. Another spins up a notebook. A third connects a dashboard to a source nobody fully understands. Before long, what exists isn't a platform — it's a patchwork. Fragile. Tribal. Impossible to observe. Data engineers spend more time firefighting than building. ML models never leave a notebook. Leadership stops trusting the numbers. This is the problem most companies live with. It doesn't have to be. The shift. What changes everything is architecture with intention. A unified data and AI platform — not stitched together from leftovers, but designed from the ground up. Observable. Scalable. Built for the engineers who use it every single day. That means defining the vision and doing the work. Strategy sessions with leadership and production code alongside engineers. Reference architectures and engineering standards for platform teams, data teams, and ML teams — designed to hold up under real-world pressure, not just on a whiteboard. Platform observability isn't an afterthought. It's built in from day one. Pipeline health. Data quality. Cost governance. System performance. Full visibility. No blind spots. The platform. The foundation is Databricks — lakehouse architecture, Unity Catalog, Delta Live Tables, MLflow, Workflows, Spark SQL, PySpark. The cloud layer spans Azure, AWS, and GCP — choosing the right components for the job, not defaulting to a single vendor playbook. Tooling like Kafka, Power BI, Tableau, Hugging Face, and LangChain earns its place by adding genuine value — not by filling a slide deck. The difference. Clients engage when they're done with band-aid solutions and ready to invest in a platform that scales. They stay because every technical decision connects to a business outcome — and the architecture their teams inherit is one they can actually maintain and evolve. Engineers lean in because the environment is built for meaningful work. Clear standards. Real ownership. Modern tooling. Space to grow. No chaos dressed up as agility — just platform thinking that becomes second nature. The invitation. Modernizing a data platform. Scaling AI capabilities. Building a team that can do both. Whatever the ambition — the conversation starts here. E ferdinand.vanbutzelaar@lakehousepartners.ai M 0031 6 41 961 561
Stackforce AI infers this person is a Data Engineering and Analytics expert in the SaaS and Fintech industries.
Location: Utrecht, Utrecht, Netherlands
Experience: 5 yrs
Skills
- Data Engineering
- Databricks
- Data Analytics
Career Highlights
- Expert in building scalable data platforms.
- Proven track record in data engineering and analytics.
- Strong leadership in cross-functional team collaboration.
Work Experience
Lakehouse Partners
Founder | Databricks Solution Partner | Building Data Intelligence Platforms (1 yr 10 mos)
Spar Holding Netherlands
Senior Consultant | Data Architect & Engineer (1 yr 3 mos)
The Future Group
Senior Consultant | Data Architect & Engineer (1 yr 8 mos)
The NextGen
Senior Consultant | Data Analytics & Data Engineering (1 yr 3 mos)
TBAuctions
Senior Consultant | Data Analytics & Data Enginering (1 yr 3 mos)
Ahold Delhaize
Senior Analytics Engineer (2 yrs 4 mos)
Nederlandse Spoorwegen
Medior Data Analyst (2 yrs 9 mos)
Non-Porfit Oh Deer!
Festival Organizer (3 yrs 6 mos)
Nacht van de Fooi
City Coordinator for the National Board (1 yr 1 mo)
CrystalMotion
Co-Founder & Project Director (4 yrs 10 mos)
Pepperminds
Lead Sales Promoter (D2D and Festival Campaigns) (2 yrs)
Education
Minor Entrepreneurship at Utrecht University
HBO at Hogeschool van Utrecht