Data Engineer

Candidate Description

A seasoned Data Engineer with over 14 years of progressive IT experience, this professional excels in designing and delivering modern data platforms across banking, financial services, and media sectors. Leveraging deep expertise in Azure, Databricks, Apache Spark and Microsoft BI technologies, they have repeatedly enabled enterprise clients—including a Financial Institution, a Global Wealth-Management Platform and a Media Company—to unlock actionable insights from complex data landscapes.

Their technical acumen is demonstrated through end-to-end ownership of data-engineering pipelines, from ingestion to visualisation. They are adept at crafting Azure Data Factory workflows, implementing Medallion architectures on Azure Fabric, and optimising T-SQL code for high-volume analytics. Notable achievements include migrating on-premise warehouses to the cloud, reducing ETL load windows by up to 30%, and introducing Power BI dashboards that enhance executive decision-making. A strong advocate of Agile and DevOps practices, they orchestrate CI/CD pipelines with Azure DevOps to ensure reliable and reproducible deployments.

Beyond hands-on engineering, this individual provides leadership as a Development Team Lead, mentoring cross-functional teams and fostering collaboration between business and technology stakeholders. Their adaptability across consulting, financial services and entertainment domains underscores an ability to translate business goals into robust technical solutions. Committed to continuous improvement and certified as a ScrumMaster, they deliver high-quality, scalable analytics platforms that drive strategic value for organisations.