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Build and own an AI-driven manufacturing platform that orchestrates work on the shop floor using video-based instructions, agentic continuous improvement, and multi-tenant deployments.
Designs and optimizes Azure-based data pipelines using Databricks, Delta Lake, and Lakehouse to power analytics and AI workloads.
Senior Data Engineer builds and optimizes Azure Databricks pipelines for banking analytics and AI using PySpark, Delta Lake, and cloud-native tools.
Build and enhance a secure-coding learning platform using Node.js, React, MongoDB, and PostgreSQL while integrating AI tools to educate developers on secure coding and AI principles.
Designs and builds automated data pipelines for banking regulatory reporting, ensuring data quality and compliance with BCBS 239 using SQL, Python, and SAS.
Design and build automated data pipelines for risk and regulatory reporting in banking, using SQL/Python to aggregate massive finance datasets and ensure compliance with standards like BCBS 239.
Senior AI Engineer builds and runs AI systems that ingest, process, and enrich unstructured enterprise data to deliver context-rich features in production Python.
Build and optimize scalable data pipelines and streaming solutions on Microsoft Azure and Databricks to power analytics and operational processes.
Develop and maintain Primuz, a Java-based Electronic Patient Record system used by healthcare providers, using J2EE, Hibernate, and Swing.
Builds near-real-time data pipelines and models on Azure Databricks, integrating Azure services to deliver API-driven data products for a modern data platform.
Leads client projects designing scalable data pipelines and architectures for efficient data ingestion and processing.
Leads client data-engineering projects, designing scalable pipelines and architectures to ingest, process, and deliver large data volumes for business impact.
Build and maintain cloud-based data pipelines using Microsoft Fabric, Azure, Python, and SQL to support analytics and reporting for a modern data platform.
Design and operate a modern cloud-based data platform using Microsoft Fabric, Azure, Python, and Power BI, collaborating with analysts and architects to deliver reliable data products.
Build and secure data pipelines, migrate on-premise data to Azure, and set up governance frameworks to power analytics and reporting for a public-sector digital transformation.
Build and maintain scalable data pipelines and applications on Azure Databricks using Python, PySpark, and SQL, while collaborating with cross-functional teams to deliver robust, cost-efficient data solutions.
Designs, builds, and maintains data warehouses and BI solutions using Microsoft BI stack and Azure Databricks to support healthcare analytics and reporting.
Build and maintain data pipelines, models, and dashboards in Microsoft Fabric to migrate and modernize a data warehouse, turning raw data into actionable business insights.
Builds and maintains ETL pipelines, data models, and dashboards in Microsoft Fabric to migrate and modernize a company’s data warehouse and deliver business insights.
Build and maintain data pipelines and applications that produce official financial statistics for Belgium’s central bank, using SQL, Python/SAS, and Databricks.
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