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Build and maintain scalable data infrastructure using tools like Airflow, Spark, and cloud platforms, while collaborating with client teams to design robust data systems.
Builds and maintains smart data pipelines in Microsoft Azure, integrating CRM systems, APIs, and logs using Data Factory, Synapse, and Databricks.
Build cloud-based data pipelines and architectures for a fintech firm that automates financial due-diligence analyses, enabling M&A teams to deliver data-driven insights to clients.
Build and maintain Alfen’s cloud-based data platform using Snowflake, Matillion, Python, SQL, and Power BI to integrate ERP, IoT, and HR data for analytics and decision-making.
Lead a data platform team building ETL pipelines and warehouses with Python, SQL, and Prefect; mentor engineers and set data architecture standards.
Build and maintain SendCloud’s data lakehouse and pipelines on AWS, enabling AI-driven decisions and agentic workflows for global shipping logistics.
Build and own the full data pipeline on Azure, from ingestion to Power BI dashboards, ensuring scalable, reliable data flows that drive business decisions in a fast-growing product company.
Design and build AI-driven data pipelines for European clients, working onsite or from the Amsterdam office to shape data architecture and enable transformation.
Build and maintain a scalable data platform using Azure, PySpark, Delta Lake, and Microsoft Fabric to power analytics and decision-making across the organization.
Build and own the data infrastructure for a risk-detection platform serving e-commerce and logistics, designing pipelines, warehouses, and MLOps to process millions of real-time events.
Build and maintain data pipelines in Python and SQL to integrate and clean datasets for environmental and transport regulators, using PostgreSQL, Airflow, and DuckDB.
Build and maintain Azure Databricks and Microsoft Fabric data pipelines, ETL/ELT processes, and Lakehouse architectures to deliver reliable data for analytics and reporting.
Build and maintain Airflow-based data pipelines and reporting workflows for financial market data in a cloud-native Python/SQL environment.
Build and improve a data foundation for a large retail client, implementing data products, pipelines, and governance to enable a data mesh architecture using GCP, SQL, Python, and dbt.
Builds scalable cloud data pipelines and AI-ready platforms using Python, PySpark, DBT, and SQL, transforming raw data into insights for customers and internal products.
Builds and maintains data pipelines, ETL processes, and data models for a Dutch insurer, ensuring reliable and actionable data for analytics and decision-making.
Designs, builds, and maintains scalable data pipelines and infrastructure to transform raw data into usable datasets for analysis and reporting.
Design and build scalable data platforms using Microsoft Azure, Fabric, and Power BI to deliver analytics and insights for clients.
Build and maintain scalable data pipelines and cloud infrastructure on Azure to deliver clean, reliable data for analytics and decision-making across logistics operations.
Build and maintain data pipelines and ML models in Azure to power flight operations and analytics at a European low-cost airline.
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