Data & Analytics Engineer

Candidate Description

Energising the data landscape with over three years of dedicated analytics experience, this Data & Analytics Engineer excels at designing high-performance data platforms on Azure. They bring a proven record of streamlining ETL workflows, modelling complex datasets and delivering insight-driven solutions across consulting, government and utilities sectors. Recent engagements with a major IT services provider, a local government council and a global staffing firm highlight versatility in both green-field builds and optimisation of legacy estates.

Their technical acumen shines through advanced use of Databricks, Snowflake and Azure Data Factory, orchestrated by automation tools and automated via GitHub-based CI/CD pipelines. Adept in Python, PySpark and SQL, they architect scalable transformations while embedding robust DevOps practices. Key achievements include cutting data-ingestion times by 40 %, reducing report load times by 30 % and automating deployment cycles that accelerate business insight delivery.

Combining strong stakeholder management with a passion for continuous improvement, this professional mentors cross-functional teams, introduces best-practice documentation and drives data-driven decision-making through interactive Power BI dashboards. Adaptable across consulting engagements, government programmes and utility operations, they add value as a collaborative engineer committed to measurable efficiency gains and sustainable analytics solutions.