Lead Data Engineer & Analyst

Candidate Description

With over 15 years designing and delivering modern data-platform and analytics solutions, this data engineering professional has honed deep expertise across the Microsoft ecosystem, cloud warehousing and visualisation. They pair a strong background in traditional BI (SSIS, SSAS, SSRS) with advanced Azure services, enabling organisations to ingest, model and expose trustworthy data assets. Known for architecting robust information structures, they bring solid stakeholder-engagement, service-management and project-leadership skills cultivated across consulting, government, finance and retail sectors.

Their technical acumen is demonstrated through Azure Synapse, Data Factory, Data Lake Storage and Power BI implementations that replace legacy environments with scalable cloud platforms. Key achievements include migrating a Major Insurance Group's entire BI estate from SQL Server 2008 to Azure, leading a Water Utility's data-migration to Oracle 12c within a BPM system, and crafting a Regulatory Agency's risk-assessment reporting covering students, staff and financial compliance. Adept at performance tuning, ETL optimisation and star-schema modelling, they employ SDLC and Agile practices to deliver high-quality, maintainable solutions.

Complementing technical depth is a leadership capability evidenced by mentoring analysts, guiding multidisciplinary teams and presenting clear data-driven insights to executives. Experience spans utilities, education, transportation, financial-services and consulting environments, showcasing adaptability and domain versatility. Through a combination of strategic vision, hands-on engineering and collaborative approach, they consistently elevate data maturity, accelerate decision-making and realise tangible business value for every organisation they engage with.