Azure/Fabric Data Engineer

Candidate Description

An accomplished Azure and Fabric-focused Data Engineer with over six years of end-to-end data platform experience across consulting, automotive, engineering and public-sector engagements. Demonstrating breadth from enterprise data governance to advanced analytics, this professional leverages deep expertise in Microsoft Fabric, Azure Data Factory and Power BI to design scalable, metadata-driven solutions that unlock business value.

Their technical acumen is evidenced by leading Microsoft Purview implementation for a Major Automotive Company, architecting Medallion-style data warehouses and orchestrating CI/CD pipelines in Azure DevOps. Adept in Python, SQL and Spark, they have delivered geo-spatial analytics on Azure, predictive maintenance models on Google Cloud and revenue-forecasting dashboards in Tableau, consistently reducing manual effort and enhancing decision-making.

Combining hands-on engineering with collaborative leadership, they bridge cross-functional stakeholders—from government data stewards to multidisciplinary engineering teams at an Engineering Firm—to ensure secure, governed and insight-ready data assets. Adaptable across industries and cloud platforms, they offer a proven track record of driving data-centric transformation and delivering measurable impact as a versatile data specialist.