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Build and maintain scalable data pipelines and warehouses for a logistics platform, ensuring reliable data flows for shipping, customer insights, and financial reporting.
Design and build end-to-end data solutions using Microsoft Fabric, Databricks and Snowflake to create scalable, secure data architectures and automated pipelines for Dutch organizations.
Lead a team to design, build, and maintain scalable data pipelines and analytics platforms using Python, Spark, and Azure for clients in AI and devtools sectors.
Design and build scalable data platforms using Microsoft Fabric, guiding clients through architecture, pipelines, governance, and analytics with Azure integration.
Build and optimize data pipelines for gaming analytics, processing real-time and batch streams with Python/Java/Go and SQL.
Build and maintain scalable data pipelines on Azure using PySpark and Synapse to integrate and process data for consumer-focused comparison platforms.
Build and maintain ELT pipelines that turn raw clickstream and usage data into clean, documented datasets for UX research and BI analysis in healthcare software.
Build and maintain Azure-based data pipelines that integrate SAP S/4HANA with reporting systems, using SQL, Data Factory, and DevOps practices.
Designs and maintains scalable data pipelines in Microsoft Azure Fabric, transforming raw data into reliable analytics-ready datasets using Azure Synapse, Data Factory, Spark and SQL.
Data Engineer implements data governance frameworks and automates data quality workflows for clients using tools like Collibra, Python, and SQL.
Build and maintain data pipelines and infrastructure for a national healthcare data platform, ensuring reliable, accessible data for policy and research using SQL, Python, and ETL/ELT tools.
Build and maintain PLUS’s data platform, ensuring reliable, scalable data flows for analytics and BI using SQL, Python, Azure, and Databricks.
Build and maintain ETL/ELT pipelines, data models, and a modern data warehouse to deliver reliable, secure datasets that power business decisions at a cash-infrastructure company.
Build and maintain the central data warehouse for a large Dutch mental-health provider, designing ETL/ELT pipelines, T-SQL solutions, and improving data quality to power analytics and AI.
Design and build scalable cloud data pipelines and AI-ready architectures using Azure services to turn raw data into reliable, analytics-ready datasets for ML and decision-making.
Designs, builds, and maintains secure ELT pipelines and data models for municipal data, ensuring high-quality datasets for BI, policy, and AI use cases in a government setting.
Build and maintain NATO’s secure, scalable data infrastructure using Python, Kubernetes, and cloud/airgapped tooling to power reliable data pipelines and AI/ML workloads across the Alliance.
Build and maintain real-time data pipelines on GCP to power Orbisk’s AI-driven food waste monitoring system, enabling hospitality clients to cut waste and emissions.
Design and maintain cloud-based data pipelines and the enterprise Master Data Repository in Azure, enabling reliable data flows and analytics for a high-tech electronics manufacturer.
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