Rotterdam, South Holland, Netherlands
As a Senior Data Engineer and BI Specialist, I design and deliver robust, scalable data solutions in complex and highly regulated environments. I operate at the intersection of architecture, engineering, and business value — translating raw data into reliable, decision-ready information. I have extensive experience working with both on-premises and cloud-based platforms, handling structured and unstructured data across modern data ecosystems, including: Enterprise Data Warehouses (Inmon, Kimball, Data Vault & hybrid models) OLTP / OLAP systems Big data platforms (Azure Data Lake, distributed processing) Data formats such as CSV, JSON, XML, and Parquet My strength lies not just in building pipelines, but in designing sustainable data architectures that support long-term scalability, auditability, and performance. What I deliver ✔ End-to-end data platforms — from ingestion to visualization ✔ High-performance data models for analytics and reporting ✔ Automated, reliable data pipelines with strong data quality controls ✔ Business-driven insights through advanced reporting and dashboards Business Impact Delivered a procurement analytics solution generating $2M annual savings Built international market intelligence models (France, UK, Germany) identifying high-value opportunities Automated executive (CFO-level) reporting, eliminating manual weekend work and increasing reliability Visualization & Reporting Power BI SQL Server Reporting Services (SSRS) Advanced Excel solutions Certifications Microsoft Azure Certified Microsoft SQL Server Certified Power BI Certified Data Vault Certified Positioning I typically operate in environments where data reliability, security, and scalability are critical, such as enterprise, government, and mission-critical platforms. Available for senior-level assignments where deep expertise, ownership, and delivery certainty are required.
Owner of a versatile commercial space, responsible for leasing, tenant relations, and operational coordination. Focused on delivering flexible, high-quality environments for business, events, and exhibitions. In parallel, actively involved in real estate development, leading the acquisition and full renovation of a residential property — applying the same principles of architecture, scalability, and long-term value creation as in enterprise data platforms.
Data-engineering en dataplatformen, van bron tot inzicht.
Scrum master voor het HR DNA team
Currently leading the migration of a Finance & Control Data Warehouse (HR domain) towards a modern, cloud-native data platform based on DBDAAP architecture, leveraging technologies such as Airflow, S3, PostgreSQL, GitLab, and Python. Responsible for transforming a legacy environment into a scalable, maintainable, and future-proof data platform, with a strong focus on automation, data reliability, and engineering best practices. In addition, I operate in a dual role as SCRUM Master for the DNA team, driving delivery excellence, aligning stakeholders, and ensuring predictable, high-quality output — combining deep technical expertise with agile leadership.
Led the design and delivery of a mission-critical Finance & Control Data Platform within a highly regulated environment. Architected and implemented a Data Vault 1.0 Enterprise Data Warehouse as the single source of truth across financial and HR domains. Built a Kimball dimensional model and SSAS Tabular model on top, enabling high-performance analytics and enterprise reporting. Engineering & Optimization Transformed a legacy full-load batch process into a fully incremental processing model, reducing load times from 140 minutes to 15 minutes and significantly improving scalability, stability, and data availability. Data Domains Financial data (SAP) HR: formation, attrition, vacancies, sick leave, performance Workforce lifecycle: onboarding, offboarding, internal mobility Impact Established a central enterprise data platform used across multiple departments Enabled advanced analytics via Power BI and SSAS Tabular Delivered governed data to downstream systems including IBM Cognos Analytics Modernization Key contributor in transitioning to a modern, cloud-native architecture: SSIS → Airflow SQL Server → PostgreSQL Storage → S3 ETL → Python Focused on scalability, automation, and vendor-independent architecture. Role Operating at lead/architect level, combining technical ownership with delivery responsibility in complex, mission-critical environments.
member
Contributed to the redesign and modernization of a complex, multi-organization Data Warehouse environment, supporting the delivery of a scalable and future-proof data platform for data-driven decision-making. Actively involved in the design and implementation of a standardized data architecture based on Data Vault 2.0 and Kimball, enabling consistent integration of data across multiple chain partners (including COA). Developed and implemented robust, automated data pipelines for ingesting and integrating data from distributed sources, with a strong focus on reliability, traceability, and scalability. Successfully supported the migration of a key chain partner to the new architecture within 3 months, including the realization of data models, ETL processes, and reporting solutions. Played a key role in data orchestration and quality assurance, implementing automated testing frameworks (SpecFlow) to ensure data integrity and stability across the platform. Impact Contributed to a scalable, enterprise-grade Data Warehouse in a complex chain environment Supported migration of an external partner within 3 months Integrated data from multiple organizations (including COA) into a unified model Implemented automated data quality controls and testing frameworks Enabled operational and strategic reporting via Power BI and SSAS Tabular Technology Stack Azure SQL Database, Azure Data Lake Gen2, Azure Logic Apps, SQL Server, T-SQL, SSIS, SSAS (Tabular), Power BI, DAX, Data Vault 2.0, Kimball, Git, Azure DevOps, XML, Python Positioning Operating at senior engineer level, combining hands-on development with architectural thinking in complex, multi-stakeholder environments.
Designed and implemented end-to-end data pipelines for financial planning data sourced from Oracle Planning and Budgeting Cloud Service. Built a scalable Data Vault architecture and translated it into a consumable data warehouse layer (star schema), enabling reliable and auditable financial analytics across the organization.