Data Engineer –Microsoft Fabric, Azure Databricks, PySpark, MSSQL

Candidate Description

A versatile Data Engineer with four years of hands-on experience designing and modernising cloud-native data platforms, this professional excels in leveraging Microsoft Fabric, Azure Databricks and Dynamics 365 data integrations to drive analytics-ready solutions. Having contributed across consulting, retail, FMCG and e-commerce sectors, they demonstrate deep expertise in Azure services, medallion-style lakehouse architectures and robust ETL frameworks, underpinned by strong analytical acumen and a commitment to data-driven outcomes.

Their technical acumen is reflected in successful migrations of legacy Synapse and Azure Data Factory workloads into Microsoft Fabric, the design of Fabric Lakehouse architectures in OneLake, and the construction of 30-plus enterprise-grade ADF pipelines orchestrating multi-source ingestions. Adept in PySpark, SQL and Delta Lake, they optimise big-data transformations, implement unity governance with Unity Catalog and deliver curated gold-layer datasets that accelerate time-to-insight for business stakeholders.

Known for collaborative problem-solving, this professional mentors cross-functional teams, liaises closely with business users to translate requirements into scalable data models and champions CI/CD and GitHub-based best practices to ensure reliable, repeatable delivery. Their blend of technical depth, cloud-platform versatility and proven delivery record positions them as a valuable asset for organisations seeking to unlock advanced analytics and realise cost-efficient data-platform modernisation.