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Designs and builds scalable Azure-based data pipelines and Applied AI solutions, turning raw data into business value for sectors like finance, energy, transport, and healthcare.
Designs and maintains scalable Azure data pipelines with PySpark and Databricks, ensuring high-performance solutions and governance.
Design and build scalable Azure data pipelines using Databricks, PySpark, and Azure services to process and transform enterprise data for analytics and migration projects.
Build and maintain scalable Azure data pipelines using Databricks, Data Factory, PySpark, and Python to power enterprise analytics and reporting.
Design and build scalable Azure data pipelines with ADF, Databricks, and PySpark, plus automate deployments using Azure DevOps and Bicep.
Senior Data Engineer builds and optimizes scalable Azure/Databricks data and ML pipelines for finance and public-sector clients, using PySpark, MLflow, dbt and CI/CD.
Build and scale managed data products on Snowflake using dbt, integrating internal and external sources to create reliable, AI-ready data foundations for data scientists.
Design and maintain scalable data pipelines using Apache Spark, Databricks, and Azure Data Factory to transform raw data into insights.
Build and maintain the municipality’s Azure-based data platform and integrate data pipelines to support civic services and reporting.
Designs and maintains scalable data pipelines and solutions using SQL, NoSQL, Azure Data Factory, and Python for production environments.
Senior Data Engineer builds and maintains data platforms, ETL/ELT pipelines, and warehouses using Azure Data Factory, Databricks, and Python to enable data-driven decision-making for clients.
Design and build data pipelines and platforms for regulatory reporting in a bank using Azure Data Factory, Databricks, and Synapse.
Builds and maintains data pipelines on Azure Databricks and Data Factory using Python, PySpark, and SQL for a financial-sector client.
Build and maintain Azure-based data pipelines using ADF, Databricks, PySpark, and Azure DevOps to process large-scale datasets and automate ETL workflows.
Design and build scalable cloud data platforms using Azure Databricks, dbt, and Spark; develop ETL/ELT pipelines, data models, and enforce data governance for enterprise datasets.
Builds and maintains scalable, secure data platforms using Azure, Databricks, and Python to power data-driven decisions for clients in energy, healthcare, logistics, and mobility.
Build and maintain scalable data pipelines and warehouses in Azure to power dashboards and CPM solutions for childcare and primary education providers.
Senior Data Engineer builds and scales robust, AI-ready data pipelines and warehouses for NN Group’s pricing models, using Azure Data Factory, Databricks, and Kimball dimensional modeling to deliver reliable insurance pricing data.
Build and maintain Azure-based data pipelines and analytics platforms for a banking client using Azure Data Factory, Synapse, Databricks, and PowerBI.
Design and operate Microsoft Fabric-based data platforms, building scalable ETL/ELT pipelines in Python and PySpark to support clean-energy infrastructure analytics.
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