Career Profile

who am I? I am a solution-oriented Data professional with strong analytical and numerical skills. I have ample experience analyzing large datasets and using Big Data frameworks. I have a broad knowledge of IT and data engineering, and a solid background in machine learning and econometrics. Furthermore, I am a net worker capable of working independently. Critical and innovative. I have an eye for detail, but I keep focused on the larger picture. My reports are clear and comprehensive. Results focused. I take responsibility and I keep the interests of all stakeholders in mind.


Data Engineer

June 2023 - now
Shell, HR, The Hague

I am the technical lead of a team of specialized data engineers. I work with Azure and Databricks. I use pySpark to implement workflows, which harmonize the HR data into SCD 2 tables. I employ Spark SQL to provide additional views to business users. I test the pipelines using pytest and great expectations. I use GitHub Actions to implement CI/CD.

Data Engineer

Augustus 2021 - June 2023
Nike, Enterprise Data & Analytics, Hilversum

I migrated legacy SqlServer solutions to the cloud making extensive use of Python, pySpark, sparkSql, Databricks, Airflow, Kubernetes, Snowflake, Sqlserver, Teradata and related technology. I developed an integration testing framework for Nike’s custom data pipeline library.

Machine Learning Engineer

Februari 2021 - Juli 2021
APG, Wealth Management, Amsterdam

I designed the data science capability for APG’s conversation platform, which will serve conversations with nearly 5 million participants. I worked on an Azure Platform, and I used Databricks, pySpark, Mlflow, BentoML, Docker.

Data Engineer

August 2019 - November 2020
Bayer, Advanced Precision Horticulture, Tomato Cultivation, Bergschenhoek

I was responsible for developing data pipelines, which I implemented on an AWS k8s cluster. I designed a data monitoring system, which I implemented on top of Elasticsearch.

Machine Learning Engineer

November 2018 - April 2019
FD Mediagroep,, Amsterdam

Extracting source data from a MySQL database I created Machine-Learning models. I made predictions and bootstrap prediction intervals.

Data engineer

September 2017 - November 2018
VITO Institute for Technological Research, Remote Sensing, Mol, Belgium

I led the development of an automated workflow system for satellite remote sensing. Liaising between two development teams, I designed and implemented solutions using Spark, Yarn, Docker, Linux, Airflow, Elasticsearch, PostgreSQL, Kafka, Nifi, Dask, Python, Pandas

Data Scientist

February 2017 - July 2017
Liberty Global, Parent Company of, Capacity Management, Amsterdam

Python, R, Timeseries modeling (Arima/ETS/Fbprophet/LSTM neural networks), NeuralNet/ElasticNet/MARS/Poisson, Clustering techniques and Cross validation. I intensively used Python libraries like Pandas, Numpy, Sklearn, Keras/TensorFlow, R2py

Data Scientist

May 2016 - December 2016
Postbank AG, CRM Department, Bonn, Germany

I analyzed large data sets consisting of financial transactions, using Oracle, Hadoop, PySpark, Python, Kafka, Hive and SAS.

Data Scientist

November 2015 - April 2016
Belgian Ministry of Finance, Fraud Detection, Brussels, Belgium

I guided a team of data scientists with advanced methods, such as Random Forests, experimental design and calibration. I used SAS to implement these methods.

Previous Positions

Central Fund for Social Housing - Senior Model Developer, Modelling the financial situation of the social rented sector in the Netherlands (2010–2015)
University of York - Senior Advisor, Coordinated statistical and economic aspects of an international EU project (2009–2010)
Netherlands Ministry of Housing - Senior Model Developer, Analysis of the Netherlands’ national housing policy (2006-2010)
Delft University of Technology - Senior Scientific Researcher, International comparative research of housing policy (2003-2008)
CPB Netherlands Bureau of Economic Policy Analysis - Senior Scientific Researcher, Economic policy analysis: Housing economics, Housing finance, International economics. Extensive experience with SAS and Python scripting. Early adopter of Linux, Python and R (1995-2006)

Skills & Proficiency




pandas & numpy



Shell Scripting





API management