Data & AI Engineer

Candidate Description

A versatile Data & AI Engineer with deep expertise in Azure analytics ecosystems, this professional has delivered end-to-end data solutions across consulting, government, healthcare, non-profit and retail sectors. They combine mastery of Microsoft Fabric, Databricks and Power BI with strong statistical foundations to build robust lakehouse architectures, scalable pipelines and compelling dashboards that empower data-driven decision-making. Recognised for translating complex technical concepts into actionable insights, this professional excels at full-lifecycle project delivery and stakeholder engagement.

Their technical acumen is demonstrated through production-grade implementations of Azure Data Factory pipelines, PySpark and SQL ETL workflows, and automated CI/CD frameworks via Azure DevOps. Key achievements include modernising legacy on-premise platforms to cloud-native lakehouses for a Technology Company clients, lifting revenue recovery by up to 30 % at a Consulting Firm through automated auditing, and instituting enterprise-wide Power BI governance frameworks. Adept at integrating Azure AI Services, they have operationalised machine-learning models for real-time inference and established robust governance encompassing security, metadata management and RLS configurations.

Combining hands-on engineering capability with academic and mentoring experience gained at an Educational Institution, they routinely lead knowledge-sharing sessions and guide cross-functional teams. Their background spans both technical leadership and operational management, evidencing adaptability to varied business environments from start-ups to large enterprises. Focused on driving measurable value, this professional offers employers a rare blend of data-engineering depth, AI fluency, and strategic communication that accelerates digital transformation initiatives.