Azure Data Engineer

Candidate Description

Specializing in cloud-native data engineering, this professional leverages over 12 years of experience to architect and optimise modern data platforms on Azure and Snowflake. They have delivered robust solutions across healthcare, mining, insurance and education sectors, demonstrating deep expertise in Azure Data Factory, Databricks, Synapse Analytics, Power BI and Snowflake while maintaining strong foundations in SQL, SSIS and data-warehousing principles.

Their technical acumen is evidenced by successful migrations of on-premise estates to Azure for a Health Insurance Provider and a Mining Company, the automation of CI/CD pipelines using Azure DevOps, and the implementation of governance frameworks that align with ISO 27001 and SOC 2. Adept at API-driven integrations through Azure API Management and Logic Apps, they have repeatedly reduced deployment times and operational costs, introduced real-time data-streaming architectures and crafted high-impact visual analytics for executive stakeholders.

By leading cross-functional teams in geographically dispersed settings, this individual excels at mentoring engineers, engaging stakeholders and translating complex requirements into scalable, secure and cost-effective data solutions. Their blend of leadership, hands-on technical depth and proven delivery record positions them as a valuable asset for organisations seeking to drive digital transformation through data-centric innovation.