Fabric Data Engineer

Candidate Description

Specialising in data engineering and modern analytics architectures, this professional leverages over six years of experience to build cloud-native platforms that empower Finance, Operations and Executive teams with timely, trusted insights. Adept across both Azure and AWS ecosystems, they combine deep expertise in Databricks, Microsoft Fabric, Power BI and Dynamics 365 Finance & Operations integrations to deliver scalable lakehouse solutions in sectors such as automotive and professional services.

Their technical acumen is evidenced by designing resilient ELT pipelines with dbt, an ETL Tool and Fabric Pipelines that achieve 99.5 % reliability, implementing bronze-silver-gold Delta Lake patterns, and governing incremental ingestion, schema evolution and data quality testing. Key project successes include reducing manual consolidation effort by up to 30 hours per week at a Major Automotive Company and cutting data latency from 24 hours to under two hours for a Leadership Development Firm's executive dashboards.

Combining leadership and hands-on delivery, they have guided cross-functional teams, standardised KPIs for multiple business units and presented roadmap recommendations directly to C-suite stakeholders. Their blend of strategic vision, strong stakeholder engagement and rigorous engineering discipline positions them as a valuable asset for organisations seeking to unlock data-driven decision-making at scale.