Frank Ruiter brings over 17 years of Business Intelligence expertise — from data warehouse architecture to Azure cloud analytics — helping organisations make smarter, faster decisions.
Frank Ruiter has been building Business Intelligence solutions since 2007. Across dozens of projects spanning healthcare, energy, finance and social services, he has taken on roles from data engineer to solution architect — always combining deep technical skill with clear, pragmatic communication.
Based in Nijverdal, Frank operates as an independent consultant and is regularly engaged for complex data transformation programmes where architecture quality and stakeholder alignment both matter.
From raw source systems to polished executive dashboards — Frank covers the complete Business Intelligence stack.
Designing scalable, future-proof data warehouse and lakehouse architectures. Deep experience with Data Vault modelling, dimensional design (Kimball), and hybrid approaches — from classic on-premise DWH to modern cloud lakehouses.
Building end-to-end analytics pipelines with the modern data stack. Experience with dbt for transformation, Snowflake as cloud data platform, and Microsoft Fabric as unified analytics foundation — bringing structure, testability and speed to BI delivery.
Creating interactive, self-service reporting layers in Power BI and SSRS. Advanced DAX modelling, row-level security, and enterprise deployment via Power BI Service — now also within the Microsoft Fabric ecosystem.
Implementing data governance frameworks and cataloguing using Microsoft Purview — lineage, classification, access policies and data quality monitoring across the full estate.
Reliable pipelines with full lineage and auditability — both classic SSIS/ADF patterns and modern dbt-based transformation layers on Snowflake or Fabric.
Migrating on-premise BI workloads to Azure and modernising legacy stacks across Synapse, ADF, ADLS, Databricks, and the full Microsoft Fabric suite.
Translating complex business requirements into coherent technical designs — with clear documentation, architecture decision records, and stakeholder buy-in at every step.
Seed files are a powerful feature in dbt-core that allow you to include static, structured data directly in your analytics project — especially useful for reference tables and mapping datasets that don't change often.
Integrating dbt-Core with Snowflake opens up seamless possibilities for data modelling and management in the cloud. A practical walkthrough from setup to first model.
How to connect Power BI directly to ADLS Gen2 — step by step.
Different ways to execute an SSIS package using an outer project reference via a SQL task.
Using dynamic management views to extract rich metadata from tabular cubes with simple T-SQL queries.
Interested in working together before that date? Reach out — there may be flexibility depending on project fit and scope.
Whether you're embarking on a BI transformation, need a senior architect for a complex data project, or want a second opinion on your current setup — Frank is happy to connect and explore the possibilities.
Typical engagements range from architecture reviews and design sprints to long-term embedded consultancy. Both Dutch and English-speaking projects are welcome.