CV
For a more extensive résumé in PDF format, you can find it here.
Work experience
- Ministry of the Interior and Kingdom Relations
- Data Engineer (July 2025 - Present)
- Used technologies: Python (Polars), SQL (PostgreSQL), Airflow, DBT, and GitLab.
- Data Engineer (July 2025 - Present)
- ASN Bank
- Data Engineer (November 2023 - July 2025)
- Previously De Volksbank. Work on expanding the cloud data lakehouse using marketing and financial data from the on-premise data warehouse within the Client Interface domain.
- Engineered and configured over 30 automated data pipelines for marketing campaigns and personalised content for the ASN Bank brands using Airflow, Python, and Athena/Trino SQL.
- Developed and configured data quality checks within our different data layers for delivering consistent data with Great Expectations.
- Collaborated with technical and non-technical key stakeholders within the marketing domain to align dependencies with our data infrastructure.
- Onboarding (non-)technical new hires within the team and mentoring them in their user stories and working methods.
- Used technologies: Amazon Web Services (AWS), SQL (Teradata/Athena), Jira, Confluence, GitHub, Airflow, Terraform, and Python (PySpark).
- Junior Data Engineer BI (September 2022 - October 2023)
- Further developing and implementing the functional data warehouse within ASN Bank.
- Designed, aligned, and developed new BI dashboards and features in existing business intelligence dashboards for credit risk model monitoring within Tableau.
- Worked on data migrations within the on-premise data warehouse to prepare credit risk model monitoring datasets using Teradata SQL and SAP PowerDesigner.
- Used technologies: SQL (Teradata), Jira, Confluence, BitBucket, SAP PowerDesigner, and Tableau.
- Data Engineer (November 2023 - July 2025)
- Bit Academy
- Part of the Team - Community Coach (January 2023 - August 2023)
- Facilitated and coached over 20 students with coding problems for the Bit Academy Pro courses in Python, SQL, and other open-source technologies.
- Mentored 5 students interested in a career in data by sharing industry and theoretical knowledge within the data science, data analytics, and data engineering domains.
- Used technologies: SQL (SQLite), GitLab, and Python.
- Part of the Team - Community Coach (January 2023 - August 2023)
- Coolblue
- Data Science Intern (April 2022 - August 2022)
- Worked on the weekly potential sales and demand forecast for one of the product types within Coolblue.
- Group different products based on their sales behaviours and propose different machine learning forecasting approaches for the selected product types.
- Used technologies: SQL (BigQuery), Jira, Confluence, GitHub, and Python.
- Data Science Intern (April 2022 - August 2022)
- Finaps
- Process Engineer (November 2019 - April 2022)
- Implementation and maintenance of the information security and quality management systems following the ISO 9001 and 27001 standards.
- Worked on several continuous improvement initiatives in the form of research chapters and respective ISO standards.
- Part of the tactical stream within the organisation by initialising research chapter teams within the software engineering and data domains.
- Mentored 2 (graduate) interns with their projects and research.
- Milestone: achieving ISO 9001 compliance and certification with Finaps in August 2021.
- Process Engineer (November 2019 - April 2022)
- Accenture
- Associate (March 2018 - September 2019)
- Started as an undergraduate intern, which was scoped on data security tooling and best practices for GDPR compliance (March 2018 - August 2018).
- Provided project management support across Accenture’s Dutch accounts within the chemical resources industry.
- The tasks consist of managing project financials, calculating price margins for new consulting projects and project extensions, and collaborating with project managers and managing directors to win new deals.
- Mentored several (graduate) interns with their projects and research within the technology domain.
- Associate (March 2018 - September 2019)
- Finaps
- Junior Information Security Specialist (August 2016 - December 2017)
- Started as an intern focused on implementing the ISO 27001 standard within the organisation (August 2016 - January 2017).
- Managed to set up the ISO 27001 framework in a time frame of 7 months within the organisation.
- Worked on internal audits, writing information security and GDPR policies, and performing risk assessments when (technology) changes occurred within the organisation.
- Milestone: achieving ISO 27001 compliance and certification with Finaps in April 2017.
- Junior Information Security Specialist (August 2016 - December 2017)
Volunteer experience/Personal projects
- Ichi Ban Leiden
- Data Engineer (March 2024 - Present)
- Support my parents’ restaurant by gathering data sources to gain insight into the restaurant’s performance.
- Developed and configured the platform for app deployment, data storage, and data engineering, see the link to the project description for more information.
- Used technologies: Google Cloud Platform (GCP), Python, SQL (BigQuery), and GitHub.
- Data Engineer (March 2024 - Present)
- Volt Europe
- Data Analyst (August 2021 - April 2023)
- Volunteered as a data analyst facilitator for the Volt Europe Data Analytics team.
- Performing ETL on raw data to create various dashboards for different stakeholders within Volt.
- Manage, onboard, and delegate tasks to several Volt members related to BI dashboarding.
- Used technologies: SQL (PostgreSQL), Python, GitLab, and Looker Studio.
- Data Analyst (August 2021 - April 2023)
- KLM/Run in the Sun Foundation
- Volunteer Staff (November 2017)
- Volunteered for 1 month as a facility officer for the participants in this marathon.
- The tasks ranged from handing out drinks and medals to the participants to setting up the event.
- Volunteer Staff (November 2017)
Education
- MSc. in Artificial Intelligence, University of Texas at Austin, 2025-Present
- Taken courses: Deep Learning
- Open University student in Computer Science and Data Science, University of Helsinki, 2023-2025
- Taken courses: Operating Systems, Introduction to Programming, Advanced Course in Programming, Big Data Platforms, Functional Programming I, Introduction in Logic I, Introduction to Logic II, Data Structures and Algorithms I, Data Structures and Algorithms II, Working with Text in Python, Calculus 1A: Limits and differentiation, Calculus 1B: Integration, Computer and Internet, Devops with Docker: Part 1, and Devops with Docker: Part 2.
- MSc. in Information Studies: Data Science, University of Amsterdam, 2021-2022
- Taken courses: Fundamentals of Data Science, Statistics, Simulation and Optimisation, Applied Machine Learning, Data Systems Project, Causal Data Science, Big Data and Master Thesis.
- Thesis subject: Detecting and classifying cyberbullying memes in Twitter posts
- Performed research within the University of Amsterdam on multi-modal classification models that detect and classify cyberbullying within memes posted on Twitter.
- Used technologies: Python, Amazon SageMaker, GitHub, and Twitter Developer API.
- Final GPA: 7.4/10
- MSc. in Business Informatics (not completed: 61,5/120 ECTS, completed Applied Data Science profile: 45/30 ECTS), Utrecht University, 2020-2021
- Taken courses: Introducing Natural Sciences, Introduction to Business Informatics, Method Engineering, Data Science and Society, Big Data, Business Intelligence, Data Analysis and Visualisation, Algorithms in Finance, and Data Intensive Systems.
- BSc. in Business, IT & Management (currently HBO-ICT), Hogeschool Utrecht/University of Applied Sciences Utrecht, 2014-2018
- Taken courses: Enterprise Resource Planning, CRM & Selecting, Project Business Systems, Business Process Management Systems, Change and Consultancy Skills, University Project, Execute Your Own Project, Performance Management, Business IT Alignment, IT Service Management, Applied Research and Professional Skills 3, Internship, Business Environment, Business Development and Design, Big Data, Digital Company, Social Media Communication, and Graduation Assignment.
- Thesis subject: Which data security tooling and best practices could ensure with GDPR compliance in the data security segment?
- Performed research within Accenture Technology at the Data Management department on data security tooling and the respective best practices that companies can adhere to for GDPR compliance.
- Minor: Sport and Entertainment Marketing
- Final GPA: 7.3/10
Certifications
- Amazon Web Service (AWS)
- Astronomer
- Scrum
Technical Skills
Programming
- Python
- Data Orchestration and Engineering Ops
- Boto3
- Awswrangler
- Airflow
- Data Wrangling and Transformation
- NumPy
- Pandas
- PySpark
- SciPy
- Data Visualisation
- Dash
- Matplotlib
- Plotly
- Seaborn
- Data Orchestration and Engineering Ops
- R
- Tidyverse
- dplyr
- ggplot2
- readr
- tibble
- tidyr
- Tidyverse
Query Languages
- SQL
- Athena/Trino SQL
- BigQuery
- PostgreSQL
- SQLite
- Teradata
Software
- Amazon Web Services (AWS)
- Athena
- Cloudwatch
- Glue
- Redshift
- MWAA
- S3
- SageMaker
- Secrets Manager
- Apache
- Airflow
- Atlassian
- Jira
- Confluence
- Business Intelligence
- Google Looker Studio
- Tableau
- Docker
- Terraform
- LaTeX
- Overleaf
- Microsoft Office
- Google Cloud Platform (GCP)
- App Engine
- BigQuery
- Billing
- Cloud Functions
- Cloud Run
- Cloud Scheduler
- Cloud Composer
- IAM & Admin
- SAP
- SAP PowerDesigner
- Version Control
- Bitbucket
- GitHub
- GitLab
Security
- GDPR
- Information security
- ISO 27001
Languages
- Dutch (Fluent)
- English (Advanced)
- Mandarin (Basic)