Azure Data Engineer

Candidate Description

With more than a decade in information technology and a deep-rooted specialisation in data warehousing and business intelligence, this data engineering professional excels at delivering scalable cloud analytics solutions on Microsoft Azure. Their career spans sectors such as consulting, retail (supporting a Major Retailer franchisees at a Consulting Firm) and software vendors, underpinned by a foundation in electronic engineering and reinforced through multiple Microsoft certifications. A passion for continuous learning, coupled with advanced skills in Azure Data Platform, Machine Learning and a Cloud Data Platform, enables them to turn complex data challenges into actionable insights.

Adept at orchestrating end-to-end data pipelines, they integrate diverse sources via REST APIs, SFTP and ETL tooling, leveraging Azure Data Factory, Fabric Lakehouses and Synapse Analytics to drive robust outcomes. Key achievements include an 8 TB migration to Azure at Microsoft that maintained data integrity across 2,000 tables and the redesign of legacy SSIS workflows into cloud-native pipelines that improved performance and reduced cost. Their toolkit spans Python, .NET, Power BI, Active Directory, GitHub and Azure DevOps, and they thrive in Agile environments using Project Management Tools for transparent delivery.

Combining leadership with hands-on expertise, they mentor cross-functional teams, liaise effectively with business and technical stakeholders and champion best-practice DevOps for continuous improvement. Whether guiding product roadmaps at a Technology Company or earning a Shout Out Award at a Consulting Firm for proactive problem solving, they demonstrate adaptability and a results-driven mindset. Organisations seeking a collaborative, innovative and certified Azure data specialist will find strong strategic and technical value in their profile.