Senior Azure Fabric Data Engineer

Candidate Description

With over six years navigating Azure-centric data environments, this professional excels in architecting and operating modern cloud platforms that empower enterprise analytics. They bring deep expertise across Microsoft Fabric, Azure Databricks, Data Factory, and the broader MSBI stack, complemented by strong proficiency in Power BI and lakehouse design patterns. Their grounding in both batch and real-time processing enables organisations to unify data, accelerate insights, and achieve tangible value.

Adept at translating complex requirements into production-ready solutions, they have delivered greenfield platforms, Fabric mirroring solutions, and large-scale report migrations for a Government Agency. Key achievements include halving data-processing times, reducing code redundancy by 80 %, and eliminating costly on-prem licensing through targeted Power BI migrations. Their technical toolkit spans ETL/ELT pipeline automation, star/snowflake modelling, advanced DAX, Python scripting, Git-based CI/CD, and stringent governance practices that collectively lower operational incidents and cloud costs.

Collaborative by nature, they frequently lead cross-functional teams, mentor junior engineers, and serve as the go-to liaison between business and IT groups. Their experience across government, real-estate and manufacturing sectors underscores adaptability and a track record of meeting domain-specific challenges. By combining strategic vision with hands-on engineering excellence, they consistently deliver resilient, cost-efficient data platforms that elevate decision-making and organisational performance.