Azure Fabric Data Engineer – Dynamics 365

Candidate Description

A seasoned Data Engineer with over 18 years of broad IT experience, this professional excels in designing and delivering scalable data solutions across Microsoft Fabric, Azure and associated modern analytics stacks. Having served organisations such as a Government Agency, an Automotive Company and a Local Government, they bring deep expertise in end-to-end ETL/ELT lifecycles, medallion Lakehouse architectures and robust data-integration frameworks. Their background spans an impressive array of industries including Utilities, FMCG, Healthcare, Financial Services, Automotive, Real Estate and Government, underpinned by strong analytical and stakeholder-engagement abilities.

Their technical acumen is evidenced by mastery of Azure Data Factory, Databricks, Synapse Analytics, Logic Apps, Azure Functions and DevOps pipelines, complemented by advanced skills in Python, PySpark, SQL/T-SQL, C# and data-modelling methodologies such as star and snowflake schemas. Noteworthy achievements include migrating high-complexity Alteryx workflows to Azure, establishing Microsoft Fabric standards that improved cross-team delivery efficiency and translating legacy Einstein Analytics reports into secure Power BI dashboards with Row-Level Security. They regularly champion CI/CD practices, automated testing and Agile delivery, ensuring rapid yet reliable release cycles.

Throughout their career they have led and mentored multidisciplinary teams, facilitated collaborative workshops with business and technical stakeholders and adapted quickly to diverse project environments. Their mix of leadership, hands-on development and strategic advisory enables organisations to unlock data value, modernise analytics platforms and achieve measurable operational improvements. Committed to continuous learning, they hold Microsoft Azure AI Fundamentals and PMP certifications, positioning them as a versatile asset capable of driving enterprise data-transformation initiatives to successful outcomes.