FIG. 001 — THE CONSULTANT
STATUS: ON ENGAGEMENT @ HEIJMANS — OPEN TO CONVERSATIONS
TYPE: DATA PLATFORM ARCHITECT · MATERIALS: AZURE, DATABRICKS, dbt, TERRAFORM (AFTER HOURS: OAK) · FINISH: METADATA-DRIVEN · ORIGIN: FRIESLAND, NL
// I design and build data platforms — Databricks-deep, open-source-first, automated end to end, and built to last.
I am the owner of ProRex Consultancy and work as a freelance Data & Platform Engineering consultant. I am analytically strong, creative and have an eye for quality and results. I enjoy complex functional and technical challenges, work well under pressure and adapt quickly to new requirements.
With more than a decade in IT — and over 8 years designing and building data solutions — I have grown from data engineer into a well-rounded platform professional: deep expertise on the Databricks platform, metadata-driven data solutions, and the full platform-engineering stack — Terraform, Terragrunt, GitHub, CI/CD and DevOps ways of working. I love open source and prefer open standards over vendor lock-in, both in what I build and in what I share.
Extensive, day-to-day expertise across the Databricks platform: Spark and Delta Lake engineering, workspace architecture, governance, Asset Bundles and cost control — up to and including agentic AI use cases with data science teams.
The full platform-engineering stack: infrastructure as code, automated testing, release pipelines and DevOps ways of working — so teams ship data products instead of fighting environments.
My signature approach: platforms that integrate hundreds of sources through configuration instead of code duplication — cheaper to extend, easier to maintain, faster to onboard.
A love for open source runs through everything I build: open formats, open tooling and open standards over vendor lock-in. I also ship my own — isolinear, an open-source terminal UI for managing Databricks secrets.
FOUR STANDARD WORK PACKAGES. COMBINATIONS AND CUSTOM SCOPES BY AGREEMENT.
Design and build your data platform end to end: data-mesh or lakehouse architecture on Azure and Databricks, all infrastructure as code, governance and CI/CD included — production-ready, and owned by your team when I leave.
Get the most out of the Databricks platform: workspace architecture, Unity Catalog governance, Asset Bundles deployment standards, cost control — up to and including agentic AI use cases with your data science team.
Give your teams golden paths instead of tickets: standardized pipelines, reusable Terraform/Terragrunt modules, Kubernetes where it earns its keep, and DevOps ways of working that stick.
Turn BI and data teams into engineering teams: dbt introduction and standards, Git, DataOps and cloud-engineering practices — taught hands-on, on your own platform, until the team runs without me.
| REV | PERIOD | ORGANISATION | DESCRIPTION OF CHANGE |
|---|---|---|---|
| 01 | April 2015 — October 2016 | OGD IT Support Specialist | First-line support: registering incoming incidents and escalating to second-line where needed. At Van Nieuwpoort Groep I was responsible for upgrading Track It! and improving the change management process. Also worked for CED. Van Nieuwpoort GroepCED |
| 02 | May 2017 — December 2017 | Vixion Full Stack Developer | Worked on a single sign-on (SSO) solution for small and medium-sized enterprises, building the API, database and application. |
| 03 | January 2018 — August 2019 | Motion10 Data & Analytics Consultant | Designed and built data solutions for a broad portfolio of clients. Also created training materials, trained clients and consultants, and developed a reusable data platform. De Goudse VerzekeringenHet Nieuwe InstituutVan Gogh MuseumSamskipABN AMROCroonwolter&drosTBIMarlink |
| 04 | September 2019 — August 2020 | Macaw Data & Analytics Consultant | Designed and built data solutions for enterprise clients. As part of the technology committee I was additionally responsible for revising the Macaw data platform, recording best practices and mentoring juniors. SamenGezondSustainovateHenkel |
| 05 | September 2020 — February 2022 | GoDataDriven Data & Analytics Consultant | Designed and built data solutions for major Dutch enterprises. Built the infrastructure for a reusable data platform that is sold to customers, supported sales in improving their offerings and gave presentations to share knowledge about new technologies. Nationale-NederlandenStedinWitteveen+BosIntergammaVeiligheidNL |
| 06 | March 2022 — Present | ProRex Consultancy Owner · Data & Platform Engineering Consultant | As a freelance consultant I help clients design, build and run data platforms — from Databricks lakehouse architecture to the full platform-engineering stack (Terraform, Terragrunt, GitHub, CI/CD). A multi-year engagement as lead data & platform engineer at construction group TBI broadened me into a well-rounded platform professional; currently building the Heijmans data platform and agentic AI use cases. HeijmansTBIVattenfall |
With his strong, direct communication Misja quickly gets everyone moving in the right direction. He also has broad technical knowledge and arrives at the right technical solutions fast. I worked intensively with Misja for a year and built a fantastic cloud platform together with him. I found it an absolute pleasure.
Data-mesh platform on Azure and Databricks with Terraform/Terragrunt, standardized CI/CD with Databricks Asset Bundles, pipelines for SAP, Autodesk and M-Files — plus agentic AI use cases with a team of five data scientists.
Multi-year engagement as lead data & platform engineer — a data-mesh platform with Terraform and Terragrunt, standardized GitHub CI/CD, App Services-to-Kubernetes modernization, and upskilling the BI team in dbt, TMDL and DataOps.
Migration of Vattenfall's troubled Azure data warehouse to a modern lakehouse architecture based on Databricks and dbt.
A public API around a machine learning model that filters non-traffic-incident data for VeiligheidNL, keeping the platform GDPR-compliant.
Reworked poorly performing Databricks jobs, added an Elasticsearch component and improved development practices and CI/CD.
Ground-up redesign of Nationale-Nederlanden's data platform with Terraform, Databricks, Synapse, Purview and automated infrastructure testing.
Assessment of Stedin's freshly migrated Azure big data platform, identifying technical and organizational issues and delivering an improvement plan.
Design of a modern Azure data platform enabling KPI dashboards across Witteveen+Bos' independent business units.
Pilot data platform for Henkel integrating marketing API sources, leading a team of 7 developers.
Cloud strategy and roadmap to replace Intergamma's legacy IBM Netezza data warehouse, comparing AWS, Azure and GCP scenarios.
Requirements, use cases and technical design for a privacy-compliant data marketplace shared by shipping companies, NGOs and universities.
Real-time integration of app data (Dacadoo) with Mailchimp, Typeform and other sources for Menzis' healthy-living initiative.
End-to-end delivery of a reporting platform integrating AFAS and Exact for Het Nieuwe Instituut's government reporting obligations.
Target architecture for De Goudse's enterprise data landscape (including MarkLogic) and migration plan for the on-premises data warehouse to Azure.
Central data platform giving the Van Gogh Museum insight into visitor behavior across its systems.
Central data platform for Samskip's fragmented IT landscape, translating QlikView logic into data marts fed from AS400/DB2.
Cloud architecture and migration of ABN AMRO Pensioenfonds' UK-hosted applications to Azure ahead of the Brexit deadline.
Solution architecture for Croonwolter&dros' new cloud data warehouse, replacing an on-premises platform with performance issues.
Metadata-driven data platform integrating hundreds of sources for TBI's Shared Service Center, serving 17 construction companies.
PaaS-based big data platform for maritime service provider Marlink, including CI/CD, development standards and the Boskalis pilot.
Single Sign-On as a Service for SMEs — API, database and application development in a team of 7 engineers.
A keyboard-driven terminal UI for managing Databricks secrets.
Browse scopes, secrets and ACLs in a three-pane terminal interface — with a workspace picker for Databricks Asset Bundles, profiles and OAuth, lazy-loaded secret values, full CRUD, fuzzy filtering and a command palette. Built on a hexagonal architecture so the domain logic is fully testable without network access. Named after the chips, of course.
SPEC: Python 3.11+ · Textual · Databricks SDK · uv · ruff · pytest
NOTE: TOOLBOX IS ACTIVELY MAINTAINED. CONTENTS SUBJECT TO CONTINUOUS EXPANSION.
I learn the way I build: on site, from the material, one honest iteration at a time. Eleven years shipping data platforms and a shelf of thirty-seven titles taught me more than any exam room could — so I let the work and the reading carry the proof. The certificates below are the foundation; the projects and the register that follows are the real inspection report.
The Hague University of Applied Sciences
ROC ID College
NOTE: ADDITIONAL COURSEWORK ON FILE — MICROSOFT PROFESSIONAL PROGRAM (BIG DATA & DATA SCIENCE TRACKS), 8 EDX CERTIFICATES, 2017–2019.
PRIMARY EVIDENCE OF CONTINUOUS LEARNING — 37 VOLUMES ON THE SHELF: READ, KEPT FOR REFERENCE, OR QUEUED. NO EXPIRY DATE, NO RETIRED PROGRAM.
| DOC NO | TITLE | AUTHOR | DISCIPLINE | STATUS |
|---|---|---|---|---|
| B-001 |  Designing Data-Intensive Applications | Martin Kleppmann | Data Systems | READ |
| B-002 |  The Data Warehouse Toolkit | Ralph Kimball & Margy Ross | Data Modeling | REFERENCE |
| B-003 |  Data Management at Scale | Piethein Strengholt | Data Architecture | READ |
| B-004 |  Data Pipelines with Apache Airflow | Bas Harenslak & Julian de Ruiter | Data Engineering | READ |
| B-005 |  Spark: The Definitive Guide | Bill Chambers & Matei Zaharia | Data Engineering | READ |
| B-006 |  The Definitive Guide to DAX | Marco Russo & Alberto Ferrari | Business Intelligence | REFERENCE |
| B-007 |  Data Science for Business | Foster Provost & Tom Fawcett | Data Science | READ |
| B-008 |  Machine Learning with Python Cookbook | Chris Albon | Machine Learning | REFERENCE |
| B-009 |  Ethics of Data and Analytics | Kirsten Martin | Data Ethics | READ |
| B-010 |  The Wall Street Journal Guide to Information Graphics | Dona M. Wong | Data Visualization | REFERENCE |
| B-011 |  The Art of SQL | Stéphane Faroult | SQL | REFERENCE |
| B-012 |  SQL Cookbook | Anthony Molinaro | SQL | REFERENCE |
| B-013 |  Fluent Python | Luciano Ramalho | Python | READ |
| B-014 |  Effective Python | Brett Slatkin | Python | READ |
| B-015 |  Python Cookbook | David Beazley & Brian K. Jones | Python | REFERENCE |
| B-016 |  Introduction to Computing Using Python | Ljubomir Perkovic | Python | READ |
| B-017 |  C# in Depth | Jon Skeet | Programming | READ |
| B-018 |  Go in Action | William Kennedy | Go | READ |
| B-019 |  Introducing Go | Caleb Doxsey | Go | READ |
| B-020 |  Eloquent JavaScript | Marijn Haverbeke | Web Development | READ |
| B-021 |  Learning React | Alex Banks & Eve Porcello | Web Development | READ |
| B-022 |  Learning Git | Anna Skoulikari | Version Control | READ |
| B-023 |  Clean Code | Robert C. Martin | Software Craftsmanship | READ |
| B-024 |  Refactoring | Martin Fowler | Software Craftsmanship | READ |
| B-025 |  Design Patterns Explained | Alan Shalloway & James Trott | Software Design | READ |
| B-026 |  UML 2 and the Unified Process | Jim Arlow & Ila Neustadt | Software Design | READ |
| B-027 |  Terraform in Action | Scott Winkler | Infrastructure as Code | READ |
| B-028 |  HashiCorp Infrastructure Automation Certification Guide | Ravi Mishra | Infrastructure as Code | READ |
| B-029 |  Docker: Up & Running | Sean Kane & Karl Matthias | Containers | READ |
| B-030 |  Kubernetes: Up and Running | Kelsey Hightower, Brendan Burns & Joe Beda | Kubernetes | READ |
| B-031 |  The Kubernetes Book | Nigel Poulton | Kubernetes | READ |
| B-032 |  Implementing Azure Cloud Design Patterns | Oliver Michalski & Stefano Demiliani | Cloud Architecture | READ |
| B-033 |  Windows PowerShell in Action | Bruce Payette | Automation | READ |
| B-034 |  Innocent Code | Sverre H. Huseby | Software Security | READ |
| B-035 |  The Lord of the Rings | J.R.R. Tolkien | Fiction | READ |
| B-036 |  The Alchemist | Paulo Coelho | Fiction | READ |
| B-037 |  Dressing the Man | Alan Flusser | Style | READ |
NOTE: REGISTER IS MAINTAINED BY THE ARCHITECT. PAPER CUTS ARE CONSIDERED SITE INCIDENTS.
neo4j> MATCH (m:Engineer {name: "Misja Pronk"})-[r]->(n) RETURN m, r, n;
NOTE: SUBJECT LOVES GRAPH DATABASES. NODES ARE DRAGGABLE. THIS SHEET DOCUMENTS ITSELF.