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Build and maintain scalable data platforms in Azure, design ETL pipelines, and integrate data sources to enable data-driven decision-making for clients.
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 cloud-based data pipelines on AWS/Azure, migrate systems to the cloud, and design ETL processes for analytics and operations.
Freelance Data Engineer building scalable data pipelines and analytics solutions in Azure for Finance and HR teams using Azure Data Factory, SQL, and Microsoft Fabric.
Build and shape a new Microsoft Fabric-based data platform from the ground up, designing pipelines, modeling data, and ensuring reliable analytics for RAI Amsterdam.
Build and maintain scalable ETL pipelines and cloud data infrastructure to ensure reliable, high-quality data flows for analytics and decision-making.
Build and maintain Azure-based data pipelines that integrate SAP S/4HANA with reporting systems, using SQL, Data Factory, and DevOps practices.
Build and maintain data pipelines and platforms on Azure to deliver reliable, high-value data products for infrastructure projects, enabling smarter and sustainable construction management.
Build and maintain PowerShell and Python automation scripts for Azure DevOps CI/CD pipelines, ARM templates, and API integrations in an Agile DevOps environment.
Build and maintain scalable data pipelines and models to power reporting, analytics, and AI initiatives for a financial-services group.
Build and scale a new data warehouse and pipelines for a fast-growing fintech, using SQL, Python, AWS, and Terraform to enable analytics and real-time decision-making.
Design and maintain scalable data pipelines and warehouses using Python, SQL, AWS, and orchestration tools to power data-driven decisions for a marketing tech firm.
Build and maintain a data platform that ingests sensor and video data from farms, enabling computer vision models to deliver actionable insights for farmers.
Designs and optimizes ETL pipelines and builds Power BI dashboards to turn raw data into business insights for internal clients.
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.
Builds and maintains scalable data pipelines and warehouses using cloud platforms (Azure/AWS) and tools like Snowflake and Databricks to move and process billions of records for clients.
Build and maintain Azure-based data pipelines and star-schema models to feed analytics and models, using Synapse, ADF, and DevOps.
Build and maintain scalable data platforms using Python, Spark, Kafka, and cloud-native tools, then embed with partner orgs to deploy ML models and analytics in production.
Designs and maintains Azure-based data pipelines and lakehouse solutions, ensuring data quality and security across enterprise flows using SQL, Python, and Azure tools.
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