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Design and build end-to-end data pipelines and star-schema models in Microsoft Fabric/Azure, then expose clean datasets for Power BI and integrate Azure OpenAI where it adds value.
Build and deploy machine-learning models using Python, Scikit-learn, PySpark, and Databricks for clients in IT consulting and pharma.
Design and build scalable data pipelines and analytics for a healthcare platform using Databricks, PySpark, SQL, and Azure to enable real-time and batch processing.
Lead a team building and optimizing data pipelines for AXA’s global insurance operations using Databricks, Azure Data Lake, and PySpark to deliver scalable analytics and reporting.
Build and maintain a Lakehouse data platform using PySpark and Databricks, designing Delta Lake schemas and batch/near-real-time pipelines for analytics and data sharing.
Designs and builds cloud data pipelines and architectures using Microsoft Fabric and Azure, leveraging SQL, Python/PySpark, and Git.
Senior Data Engineer builds and maintains SAP BW and Palantir Foundry pipelines to integrate industrial data for Airbus Helicopters, using ABAP, PySpark, and SQL in an Agile environment.
Builds batch and near-real-time data pipelines in PySpark on Databricks, designs Delta Lake schemas, and collaborates with product/QA to deliver reliable data products.
Build and maintain data pipelines, manage SingleStore databases, and support developers in a lakehouse environment.
Build a cloud-based healthcare data platform from scratch using Databricks, Azure Data Factory, PySpark and event-driven architectures to enable near real-time analytics and business insights.
Build a healthcare data platform using Databricks, PySpark, SQL and Azure, creating pipelines, models and dashboards that turn raw data into real-time analytics and business insights.
Builds and maintains a PySpark and Delta Lake data lakehouse on Databricks, creating batch and near-real-time pipelines to power analytics and data sharing for a product suite.
Build and extend a global data platform using Databricks, Azure Data Factory, Azure Analysis Services and Power BI to deliver BI and data-warehousing solutions for a multinational recruitment firm.
Builds scalable data pipelines on Databricks and Spark for a German automotive project, optimizing PySpark and SQL workflows in a distributed cloud environment.
Senior Data Engineer builds scalable data platforms on Databricks and cloud engines to power analytics and decision-making for clients and partners.
Design and build a real-time data platform for healthcare analytics using Azure, Databricks, and PySpark, focusing on scalable, event-driven architectures.
Build and maintain GCP cloud infrastructure for Booksy’s data ecosystem, automating pipelines with Terraform and CI/CD to support analytics teams.
Builds and maintains data pipelines and lakehouse platforms, ingesting and transforming data with SQL, PySpark, and streaming tools like Kafka.
Senior Data Engineer designs and builds PySpark/AWS pipelines for large-scale data processing in a long-term remote role.
Builds and maintains ETL pipelines in Python and PySpark, designs data models, and creates Power BI dashboards for logistics-focused analytics.
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