Senior Azure Fabric Data Engineer

Candidate Description

A highly accomplished Senior Data & Analytics professional with more than 15 years’ experience delivering cloud, on-prem and hybrid data solutions across the government, consulting and financial-services sectors. Adept at architecting Lakehouse and Data-Warehouse platforms on Azure, they combine deep expertise in Synapse Analytics, Databricks and Microsoft Fabric with proven skill in Power BI, T-SQL and Python. Their background includes extensive engagement with a Government Department, a Consulting Firm and a Financial Services Company, where they translated complex business requirements into scalable, high-performance data platforms.

Demonstrating strong technical acumen, this professional designs metadata-driven ETL frameworks, implements CI/CD pipelines through Azure DevOps and leads Agile delivery squads to success. Notable achievements include migrating a legacy EDW to a Medallion Lakehouse architecture that boosted data-refresh rates, automating infrastructure deployment with Bicep to cut onboarding time by 20 %, and optimising multi-currency workflows that slashed load windows by 35 %. Their toolkit spans Data Factory, ADLS Gen2, Snowflake, SSIS and advanced visualisation with Power BI and Tableau, underpinned by a Microsoft Certified: Azure Data Engineer Associate credential.

Bringing a balanced mix of leadership and hands-on capability, they mentor junior engineers, facilitate stakeholder workshops and champion data-governance initiatives that drive reliability and trust. Comfortable liaising with C-suite executives and technical teams alike, they adapt quickly to evolving priorities, consistently delivering high-quality, defect-free solutions. Coupled with an MBA and Certified ScrumMaster qualification, they offer organisations a strategic yet pragmatic approach to unlocking the full value of their data assets.