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Designs and builds scalable data pipelines and AI/ML architectures in Amsterdam, ensuring clean, analytics-ready data for model training and deployment in a cloud environment.
Builds data warehouses and AI applications for sports and retail clients using cloud infrastructure and integrations.
Senior data engineering consultant at Sia Partners in Maastricht, driving client engagements and business development with strong analytical skills.
Designs and builds scalable data and ML platforms for clients in finance and government, coaches team members, and improves data quality.
Builds and maintains data pipelines to enable fast, reliable access to healthcare data using Denodo and Power BI, creating reusable solutions for both technical and societal impact in the Dutch care sector.
Builds and maintains Azure-based data infrastructure using Python and SQL, translating business data needs into technical solutions while mentoring junior engineers in Amsterdam.
Builds and maintains a professional data platform using Qlik Cloud, Talend Cloud, and Databricks to connect SAP, CRM, and other systems into scalable AI and dashboard pipelines.
Build and maintain Azure-based data pipelines and warehouses to power data-driven marketing campaigns and personalization.
Builds and maintains data pipelines in Azure to unlock and prepare data, collaborating with teams to ensure data quality and security in a cloud environment.
Builds end-to-end data solutions in Microsoft Azure, including analysis, design, ETL pipelines, and cloud deployment to help clients optimize operations.
Builds backend data pipelines and BI dashboards in Java/Python for customer insights, ensuring data quality and warehousing in an AWS environment.
Designs and builds AI prototypes, data pipelines, and API integrations while ensuring governance and privacy compliance.
Develops AI-driven workflows on Azure, builds scalable Python backends, and constructs data pipelines in Databricks for production-grade AI solutions.
Lead a team of 10–12 data engineers to design and improve ING’s FRIDA data architecture, balancing operational and risk-driven changes while mentoring colleagues and collaborating with domain architects on cloud-native solutions.
Designs, builds, and optimizes data pipelines and ML models (e.g., decision trees, random forests, deep learning) while collaborating with teams to analyze data and share insights. Applies testing, Agile/Scrum, and CI/CD practices.
Builds and optimizes ETL pipelines and data architectures for energy/climate-tech using Snowflake, Python, and orchestration tools in a fast-paced agile team.
Leads technical teams, mentors developers, and guides projects to meet client needs using Python and advanced SQL.
Designs and optimizes data pipelines using Azure and Databricks to deliver business insights in a hybrid work setup.
Designs and maintains scalable data pipelines and models to support sustainability benchmarks and reporting, ensuring data quality and accessibility for analytics across the organization.
Build AI-driven cloud data pipelines in Azure and Databricks, transforming raw data into actionable insights for a product team in Amsterdam.
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