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Design and maintain scalable data pipelines using Databricks, Spark, and Delta Lake, integrating diverse data sources for analytics and ML workloads.
Design, build, and optimize scalable data pipelines using Databricks, Spark, and Delta Lake for analytics and ML workloads, ensuring data quality and governance.
Build and maintain a modern data platform in Python/PySpark that ingests, transforms, and serves clean data for analytics, reporting, and AI, using Delta Lake and Azure DevOps.
Build and maintain a modern data platform in Python/PySpark that ingests dozens of sources, transforms data into analytics-ready products, and supports AI use cases while ensuring scalability and data quality.
Builds and maintains a secure, self-service data platform for engineers using Databricks, Delta Lake, Terraform, and CI/CD pipelines to enable global data access.
Build and maintain a self-service data platform for a large food retailer, enabling teams across Europe to securely ingest and process data using cloud-native tools like Databricks, Delta Lake, and Azure.
Builds Python applications and PySpark-based data pipelines for scalable data solutions, automating processes and enabling analytics and AI use cases in a fintech pension provider.
Builds and maintains scalable Python/PySpark data pipelines and applications for a fintech pension provider, ensuring robust data integration and quality.
Senior Data Platform Engineer builds and maintains a self-service data platform for Ahold Delhaize teams, enabling secure, scalable data ingestion and processing using Python, Databricks, Delta Lake, and Azure.
Build and optimize a scalable data platform using Python, Databricks, and Azure, automating pipelines and infrastructure with Terraform and CI/CD.
Builds Python applications and PySpark-based data pipelines for a fintech pension provider, automating processes and integrating CI/CD to ensure quality from the start.
Builds and maintains a modern data platform in Python/PySpark that ingests dozens of sources, transforms data into reliable products, and supports analytics and AI use cases.
Builds and maintains a modern data platform in Python and PySpark, creating robust pipelines and data products that power analytics and AI for a pension provider.
Build and optimize scalable data analytics solutions for clients using Azure tools like Fabric, Synapse, and Power BI, blending technical skills with business impact and AI-driven insights.
Build and scale secure, efficient data platforms in Azure using Databricks and Kubernetes, design medallion architectures, and implement PySpark/SQL pipelines for government AI initiatives.
Build and scale a cloud-native data platform using Databricks, Spark, and AWS to power analytics and ML at a data-driven tech company.
Build and maintain cloud-native data pipelines on Databricks, curating trusted datasets with PySpark and Delta Lake to power analytics and AI across Fugro’s global operations.
Builds and maintains Databricks-based data platforms on Azure, including CI/CD pipelines, PySpark streams, and Delta Lake schemas with Unity Catalog.
Principal Data Engineer builds scalable cloud-native data pipelines and mentors teams using Python, Spark, Kafka, and AWS, while shaping technical direction for clients.
Build and maintain scalable data pipelines in Python and PySpark on Delta Lake, transforming raw financial data into business-ready products while ensuring quality and automation.
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