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Design and build cloud data pipelines and warehouses using Azure services to turn raw data into insights for clients, focusing on ETL, performance, and scalable architectures.
Design and maintain data pipelines and warehouses, optimizing ETL processes on AWS or GCP to support data-driven solutions across teams.
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.
Builds and maintains Databricks pipelines and BI integrations to deliver clean, accessible data for business decisions in a product-focused team.
Build and optimize cloud-based data pipelines on Azure, integrating ML features for enterprise clients in the Netherlands.
Builds and optimizes Azure-based data pipelines with Databricks and Fabric, then delivers insights via Power BI dashboards for clients.
Designs and maintains scalable data pipelines and cloud-based warehouses to process large volumes of energy data for analytics and ML.
Build and maintain scalable data infrastructure in Azure using IaC and CI/CD, design pipelines, and model data for analytics and reporting.
Designs, builds, and maintains data pipelines and warehouses using Microsoft Azure, SQL/NoSQL, and Python/Java/Scala to support analytics and AI workloads.
Build and maintain cloud-based data lakes and ETL pipelines, integrate diverse data sources, and enable data-driven decision-making through visualization and team guidance.
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.
Build and maintain data pipelines and ETL processes using Azure tools to transform raw data into structured, usable formats for clients.
Build and maintain scalable data pipelines on Google Cloud using BigQuery, Cloud Storage, and Kubeflow, while automating infrastructure with Terraform, Kubernetes, and CI/CD tools.
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.
Build and maintain scalable data pipelines and infrastructure to transform raw data into usable datasets for analysis and reporting, collaborating with data scientists and analysts.
Build and optimize Azure-based data pipelines and platforms to make data reliable, accessible, and actionable for data-driven organizations.
Design and maintain data pipelines using Databricks, Python, and PySpark in Azure/AWS to build scalable ETL/ELT solutions for analytics and reporting.
Senior Data Engineer builds cloud data pipelines and ETL processes for an energy-management system, integrating on-site data with ML models in the cloud.
Design and maintain secure, scalable data pipelines and warehouses for a fintech bank, using Python, SQL, and ETL tools.
Build and maintain scalable cloud data pipelines on Azure, using Python and SQL to process large datasets for analytics and insights.
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