Description

Data, AI & Integration Solution Architect with 25+ years of experience in designing and delivering modern data platforms, AI-driven tools, and enterprise system integrations. I specialize in translating complex business needs into secure, scalable, and high-impact solutions, combining strategic oversight with hands-on delivery.

My approach is highly interactive: I co-create solutions with product owners, business users, and domain experts by challenging assumptions, exploring user journeys, and surfacing technical opportunities and limitations. I actively prototype and validate architectural decisions, ensuring early alignment between vision and feasibility.

With a background as a platform engineer, I understand what it takes to implement architecture at ground level. I earn the trust of engineering teams by speaking their language and guiding from real delivery experience.

I take ownership across the full delivery lifecycle from solution design and stakeholder engagement to MVP development, scaling up and CI/CD implementation. I work closely with segment architects to align on key topics such as data governance, modeling standards, security, performance, integration patterns, and cost efficiency. Known for a pragmatic and collaborative style, I bring clarity to complex technical discussions and drive consensus across diverse teams and specialist domains.

I deliver solutions that are not only well-architected, but proven in practice.

I offer freelance services across three roles depending on project needs:

• Solution Architect – Data Platform & System Integration

(Lakehouse & Medallion Architecture, Microsoft Fabric, Databricks, Azure (ADF, VNet, IDAM), API Management, CI/CD, Data Modeling, Governance)

• AI Agent Architect / Lead Developer

(LangChain, LLMs (OpenAI, LLaMA), RAG Pipelines, Multi-Agent Orchestration)

• Senior Data Analyst

(Databricks, SQL, Data Modeling, Power BI, Python, Storytelling, Self-Service BI Enablement)

Industry field of expertise

Languages

Dutch
Native or bilingual
English
Fluent
German
Basic

Workplace preferences

Can work on-site

Barendrecht (up to 50km), Brussel (up to 50km), Amsterdam (up to 50km), Antwerpen (up to 50km), Maastricht (up to 50km)

Milence
Senior Data Analyst / Solution Architect
ENERGY AND UTILITIES
April 2024 - Today (2 years and 2 months)
Amsterdam, Netherlands
Milence mission is to rollout a European netowrk of high-performance public charging hubs for heavy-duty vehicles. They aim to transition towards data-driven decision-making by introducing BI & Analytics capabilities into their IT landscape. My role is to design and implement these capabilities.

Key Contributions:
• Defined the central Lakehouse architecture, aligned with Medallion principles to support scalable data operations

• Designed the Enterprise Data Model and formalized data curation logic for the Gold Layer

• Created central semantic models in Power BI to enhance consistency, reuse, and governed self-service analytics

• Developed dashboards and insights for key business areas:
○ Network Utilization & Reliability Monitoring
○ Customer Revenue & Commercial Insights
○ EV Market Intelligence & Benchmarking

• Architected a modular energy forecasting engine, integrating:
○ Grid, solar, wind, and battery simulation (supply)
○ Market dynamics, historical usage, and commercial inputs (demand)

• Utilized data governance tools (Atlan, Soda) to support monitoring and quality assurance

• Enabled financial reporting through integration and modeling of data from Microsoft Business Central

• Facilitated external data sharing with TNO and Rijkswaterstaat

• Contributed to internal BI & Analytics team development through mentorship and process standardization.

Tech Stack:
Azure Data Lake, Databricks Lakehouse, Power BI Service & Desktop, Power Apps, SQL, Python, Azure DevOps, Terraform, Atlan, Soda
Enterprise Integrations:
Microsoft Business Central, MS Dynamics 365 CRM, Longship CPMS, IBM Maximo, Custom Payment Platform
Data architecture Lakehouse Azure Databricks Data Analysis and Analytics Microsoft Power BI
Shell Fleet Solutions
Data Platform Solution Architect · Business Analyst · Project Manager · Data Migration Lead
TRANSPORTATION
June 2017 - July 2024 (7 years and 1 month)
Londen, United Kingdom
For Shell Fleet Solutions I designed, developed, and guided the rollout of a large-scale Azure-based BI & Analytics platform for Shell Fleet Solutions, delivered in collaboration with CGI.

Key Contributions:

Partnered with business stakeholders in the pre-funding phase, defining the solution vision and preparing cost estimations that secured executive sponsorship

Acted as Lead SME for Fleet & Payment analytics, steering a team of business analysts and aligning reporting across business units

Designed the full BI & Analytics architecture, leveraging:

Databricks Lakehouse with Medallion architecture (bronze/silver/gold layers)

Azure Synapse Analytics for structured enterprise reporting

Azure API Management to expose curated data via APIs

Built real-time ingestion pipelines using:

Azure Event Hub and Service Bus for message delivery

Azure Functions for real-time transformation and alerting

Cosmos DB for semi-structured event data

Delivered tabular models and dashboards via Power BI Service and Azure Analysis Services, enabling governed self-service analytics

Led end-to-end data pipeline design using Data Factory and Databricks, ensuring scalable ingestion, transformation, and curation

Defined and evolved multi-layered enterprise data models, standardizing analytics across markets

Collaborated with Microsoft’s product and architecture teams to refine deployment patterns as one of the first large-scale adopters of Azure-native analytics in the organization

Enabled application and third-party integrations by exposing data services via APIs, secured via Azure API Management

Tech Stack: Azure Data Lake, Synapse, Databricks, Cosmos DB, Azure SQL, Event Hub, Service Bus, Azure Functions, ADF, Power BI, Power Apps
Integrations: Azure API Management, Mulesoft, Shell digital platforms
Azure Databricks Microsoft Azure API Management Microsoft Power BI Solution Architect
M2-D2
AI Solution Architect & Lead Developer - Agentic AI Data Retrieval Platform
SOFTWARE PUBLISHING
January 2023 - Today (3 years and 5 months)
Barendrecht, Netherlands
Designed and built a conversational agentic platform
that enables users to extract structured data from websites using natural language, visual markup, and AI-powered scraping — orchestrated through a modular, multi-agent system.

Users define target websites and data needs via a conversational assistant and a UI for visually selecting areas of interest
The main orchestration agent delegates tasks to specialized sub-agents for scraping, transformation, and publication.

A data scraping agent executes extraction via DOM parsing, OCR, and fallback tools — dynamically choosing the best method when scraping does not deliver the desired data quality.

A publishing agent auto-generates and exposes the curated data as
REST APIs (JSON/XML/CSV) via Azure API Management

Includes automated API documentation and subscription based access through a Developer Portal

A centralized message center manages inter-agent communication, status tracking, and modular extensibility.

Vision-based extraction leverages OpenAI Vision to interpret UI-captured zones when traditional scraping fails

Deployed using Dockerized microservices on Azure Kubernetes Service (AKS)
with VNet isolation and full DevOps CI/CD integration

Technology stack includes: LangChain,OpenAI Studio,FastAPI,LangSmith, Pydantic, Azure API Management

Business value : Enables organizations to automatically acquire external data
and instantly and expose it through production-grade APIs. Unlocking integration with internal systems, analytics, and AI workflows

Tech Stack: LangChain, OpenAI Vision, OpenAI Studio, FastAPI, Azure API Management, Azure Developer Portal, Docker, Azure Kubernetes Service (AKS), Pydantic, LangSmith, MCP, Azure DevOps, VNet
Agentic AI Microsoft Azure Langchain Azure Kubernetes Service API Management