Azure Data Engineer

Candidate Description

With over 12 years navigating data-engineering and analytics landscapes, this professional blends deep expertise in Azure, Databricks and Power BI with a proven research background across sectors such as facilities management, transportation and government. They hold a PhD in Data Mining and have delivered cloud-native data platforms at a Major Infrastructure Services Company, a Transportation Company and a Technology Company, demonstrating a rare ability to translate complex business questions into scalable, governed data solutions.

Their technical acumen is showcased through end-to-end ingestion frameworks using Azure Data Factory, Delta Live Tables and Medallion architecture, alongside CI/CD automation in Azure DevOps. Skilled in Python, Spark and advanced DAX, they have launched 40+ analytical dashboards, cut report-load times by 60 % and built predictive models for forest-fire risk and energy consumption. Experience spans data governance, dimensional modelling, machine-learning pipelines and interactive visualisation, all delivered within Agile and DevOps cultures.

Equally comfortable mentoring teams, engaging stakeholders through Jira and Confluence or presenting peer-reviewed research, they adapt quickly to diverse domains—from healthcare at a Healthcare Innovation Agency to public policy with a Government Revenue Agency. This combination of leadership, academic rigour and hands-on engineering positions them to drive data-driven transformation and deliver robust, insight-rich platforms for forward-thinking organisations.