AI & Data Engineer

Candidate Description

Drawing on over a decade of multidisciplinary experience, this AI-focused Data Engineer excels at designing and delivering modern cloud data platforms for leading organisations. Their expertise spans banking, telecommunications and retail domains, underpinned by deep knowledge of Azure, Snowflake and Databricks, with a proven ability to execute complex data-migration and modernisation programmes at enterprise scale.

Adept at integrating cutting-edge technologies, they build intelligent pipelines using Azure Synapse, Data Factory, Microsoft Fabric and advanced analytics to drive actionable insights. The professional has introduced DevOps and MLOps best-practices—CI/CD with Azure DevOps YAML, MLflow-based model lifecycle, Infrastructure-as-Code and automated testing—to increase deployment velocity and governance compliance. Key accomplishments include accelerating legacy warehouse migrations to a cloud-based platform, standardising reusable Spark frameworks and embedding Data Mesh principles with Microsoft Purview-led governance.

Possessing strong leadership and mentoring skills, they have guided cross-functional teams, fostered collaboration with architects, risk and compliance groups, and championed agile delivery methodologies. Their strategic outlook, problem-solving acumen and commitment to quality enable organisations to unlock value from data assets quickly and securely, positioning them as a transformative force in any forward-thinking data-engineering or AI initiative.