Azure Data Engineer

Candidate Description

Driving modern data solutions, this Azure-focused Data Engineer brings over three years of experience designing and delivering end-to-end Lakehouse architectures in manufacturing and agribusiness environments. Adept at cloud platforms such as Azure Data Factory, Azure Databricks and Microsoft Fabric, they specialise in transforming complex operational data into trusted, analytics-ready assets that support finance, supply-chain and quality decision-making.

Their technical acumen spans PySpark, Spark SQL and Python for scalable processing; CI/CD with Azure DevOps and Git for robust delivery; and advanced optimisation techniques including Delta Lake partitioning and Z-Ordering for high-performance querying. Key achievements include migrating more than ten legacy SSIS packages to a Medallion architecture at a Dairy Company, implementing a Retrieval-Augmented Generation (RAG) pipeline with Azure OpenAI and LangChain, and reducing average query times by 40 % to power six enterprise-grade Power BI dashboards.

Collaborating closely with architects, engineers and business stakeholders, this professional couples deep data-engineering expertise with strong business-analysis skills gained as a Business Systems Analyst. Experienced in Agile delivery, requirements workshops and rigorous UAT management, they consistently ensure solutions align with regulatory compliance and organisational objectives. Their combination of technical depth, stakeholder engagement and process rigour positions them to add significant value in data-driven transformation initiatives.