Data Engineer

Candidate Description

A versatile Data Engineer with over ten years of experience driving data-centric solutions across consulting and retail audit environments. Adept at leveraging Azure, AWS and modern big-data platforms, this professional brings deep expertise in ETL architecture, data warehousing and advanced SQL/T-SQL development to streamline analytic operations and ensure regulatory compliance.

Demonstrating technical acumen through hands-on delivery, they have engineered robust pipelines using Azure Data Factory, Azure Synapse Analytics, ADLS Gen2 and Databricks with Spark and PySpark. They have integrated heterogeneous sources such as SAP and a Major Retailer, employed SSIS/SSRS for on-premises workloads, and crafted .NET utilities to resolve complex data-quality challenges. Key achievements include designing a multi-site compliant data-warehouse framework at a Technology Solutions Provider and reducing transformation runtimes via optimised Spark processing.

Known for collaborative leadership and clear communication, they partner effectively with architects, analysts and stakeholders to translate business objectives into scalable data models and actionable insights. Their blend of analytical rigour, continuous-improvement mindset and proficiency in modern cloud services positions them to deliver high-impact data strategies that underpin organisational growth and informed decision making.