Azure & Fabric Data Engineer

Candidate Description

Specialising in modern data engineering, this professional combines advanced cloud expertise with a solid grounding in analytics to deliver scalable, high-performance data solutions. Drawing on experience across manufacturing and software sectors, they excel in architecting end-to-end pipelines on Azure and AWS while leveraging Databricks, Snowflake, and Microsoft Fabric to unlock enterprise insights.

Their technical acumen spans data warehousing, lakehouse architectures, and real-time streaming, demonstrated through successful implementations at a Construction Company and a Software Company. Adept at tools such as Azure Data Factory, Apache NiFi, Airflow, and Power BI, they have engineered cost-efficient data lakes, optimised BI reports by 80 percent, and automated workflows that cut cloud spend by over 70 percent. Hands-on with CI/CD in Azure DevOps and GitHub Actions, they enforce robust governance, dimensional modelling, and advanced data-quality practices.

Complementing deep technical skills, they champion collaborative delivery, agile principles, and knowledge-sharing to elevate team capability. Recognised for innovation in hackathons and continuous improvement, they thrive on translating complex data requirements into actionable, value-driven outcomes. Their blend of strategic vision, operational rigour, and passion for learning positions them as a valuable asset for organisations seeking data-driven transformation.