Data Engineering Consultant

Candidate Description

Specialising in modern cloud data engineering, this professional leverages more than seven years of combined analytics and leadership experience to design, build and optimise enterprise data platforms. Adept at translating complex requirements into scalable architectures, they have delivered solutions across consulting, mining, government, utilities and retail sectors, utilising Azure Synapse, Snowflake and Microsoft Fabric to enable data-driven decision-making.

Their technical acumen is demonstrated through the development of metadata-driven ETL pipelines, Kimball-based star schemas and secure lakehouse architectures. Key achievements include automating HR analytics for a Mining Company on Azure Synapse, hardening Snowflake environments for a Government Department, and spearheading an Energy Company's migration from Snowflake to Azure with webMethods integration and Azure DevOps CI/CD. Expertise spans SQL, Python, PySpark, Power BI visualisation, data governance, security best practice and Agile delivery.

Combining hands-on engineering expertise with strong stakeholder engagement, they mentor cross-functional teams, champion data culture initiatives and align technical roadmaps with strategic objectives. Proven ability to adapt to diverse industries, manage complex data migrations and guide organisations through digital transformation positions them as a valuable asset for any enterprise seeking robust, insight-driven data solutions.