Azure Fabric Data Engineer

Candidate Description

A versatile Data Engineer with more than five years of experience designing and deploying modern analytics platforms across Microsoft Azure and Microsoft Fabric ecosystems. Operating within consulting and enterprise environments such as an Environmental Consultancy, a Technology Company, a Financial Institution and a Health Insurance Provider, they specialise in building secure, high-performance data lakehouses that empower business intelligence and real-time insights.

Their technical acumen spans Azure Data Factory orchestration, Databricks-based transformation with PySpark, Synapse Analytics optimisation, and Power BI semantic modelling. Adept at implementing Medallion Architecture and Delta Lake best practices, they have led migrations of multi-terabyte workloads, engineered CI/CD pipelines through Azure DevOps, and enforced governance using Unity Catalog and Azure Key Vault. Key project outcomes include 20% faster analytics queries, 25% processing efficiency gains, and double-digit improvements in revenue-variance visibility.

This professional couples deep technical expertise with collaborative Agile delivery, engaging stakeholders to translate BRD/FRD requirements into scalable solutions while mentoring team members on best-practice DevOps and data-engineering workflows. Their blend of leadership, adaptability and end-to-end solution ownership positions them as a valuable contributor to organisations seeking to unlock insight, elevate data quality, and accelerate digital transformation.