Azure Fabric Data Engineer

Candidate Description

With more than four years of hands-on experience across consulting firms and financial institutions, this data engineer excels in designing and optimising cloud-native data platforms. Their breadth spans Azure, AWS and Microsoft Fabric, enabling organisations such as a Technology Company and a Financial Institution to modernise data estates and unlock business insight rapidly.

Commanding strong expertise in Python, SQL, Apache Spark and Snowflake, they have architected high-performance ELT pipelines using Azure Data Factory, Delta Lake and Synapse Analytics. Key achievements include leading the migration of a Major Retailer’s analytics environment to Microsoft Fabric Lakehouse and automating CI/CD for Azure-based data workflows, boosting deployment speed while upholding governance standards.

A collaborative professional who bridges engineering rigour with clear stakeholder communication, they mentor teams on best-practice data modelling, dashboard development in Power BI and performance tuning. Adaptable across industries—from consulting engagements to regulated banking environments—they consistently deliver scalable, governed and cost-efficient data solutions that drive informed decision-making and competitive advantage.