Fabric Data Engineer

Candidate Description

With a solid track record in data engineering and analytics, this professional brings extensive experience designing scalable architectures and delivering actionable insights for organisations such as a Previous Employer and an Insurance Company. They leverage deep expertise across a Major Technology Platform, Azure and SQL Server to build reliable data pipelines, complemented by strong skills in Python, Databricks and Power BI for modelling and visualisation. Collaborative by nature, they work closely with business stakeholders to translate complex requirements into efficient, high-quality data solutions.

Their technical acumen is evident in the implementation of Medallion-based lakehouse structures, metadata-driven ingestion pipelines and robust DevOps practices using Azure DevOps and GitHub. Adept at ETL design with SSIS, Data Factory and PySpark, they have delivered automated reporting suites, interactive dashboards and low-code PowerApps that boost productivity and data literacy. Key achievements include centralising reporting for 250+ agents at an Insurance Company and deploying a unified platform at a Previous Employer during an ongoing cloud migration.

Demonstrating leadership and adaptability, this individual mentors colleagues on best-practice data modelling, champions stakeholder engagement and drives continuous improvement within Agile environments using Jira and Confluence. Their combination of technical depth, business analysis background and commitment to governance positions them to add significant value by turning raw data into strategic assets that empower informed, data-driven decision-making.