Azure Data Engineer

Candidate Description

Specialising in Azure-centric data engineering, this professional brings over a decade of experience designing and optimising cloud data platforms across real estate, banking, automotive, pharmaceutical and healthcare sectors. They combine mastery of Azure Data Factory, Databricks, Synapse Analytics, Delta Lake and the Microsoft BI stack with a strong grounding in dimensional modelling, data governance and stakeholder engagement.

Their technical acumen is evidenced by the successful delivery of large-scale ETL frameworks, Medallion architectures and real-time streaming solutions for organisations such as a Real Estate Company, a Major Bank and a Leading Bank. Adept in Python, PySpark and SQL, they automate CI/CD with Azure DevOps, apply Agile and Scrum methodologies, and create analytics-ready data models that power high-impact Power BI dashboards and executive reporting.

A natural mentor and collaborator, they guide junior engineers, work seamlessly with cross-functional teams and translate complex data challenges into business value. Their proven ability to lead end-to-end data initiatives, coupled with multiple Microsoft and Databricks certifications, positions them as a versatile senior data engineer capable of accelerating any organisation’s journey to becoming data-driven.