Data and AI Consultant –

Candidate Description

With more than a decade immersed in data engineering and analytics, this professional excels in architecting cloud-native data platforms that drive actionable insights and measurable ROI. Adept at Microsoft Fabric, Azure, Databricks and Power BI, they blend strong coding skills in Python, PySpark and SQL with a deep understanding of Medallion architecture, security governance and real-time data processing across sectors including consulting, healthcare and manufacturing.

A track record of technical excellence is reflected in end-to-end pipeline builds, cutting query latency by 70 % for a Healthcare Company and halving Power BI Premium costs through model optimisation. Adept at Azure Event Hub, KQL, Terraform-driven IaC and CI/CD automation via Azure DevOps, they consistently deliver resilient data solutions. Key achievements include enabling regulatory approvals through robust telemetry pipelines, launching an OpenAI-powered chatbot that secured 500+ paying users in 30 days and driving a 25 % uplift in marketing ROI through advanced customer-journey analytics.

Combining strategic vision with hands-on delivery, they lead cross-functional teams, mentor stakeholders in data-driven decision-making and communicate complex insights to executives. Their adaptability spans education, professional services and consumer-centric digital products, underscoring a commitment to continuous improvement and innovation. Organisations seeking a senior data engineer who bridges technical depth with business impact will find exceptional value in their blend of leadership, analytical rigour and proven delivery.