Data Analytics Engineer

Candidate Description

With a strong foundation in data engineering and analytics, this professional leverages over three years of experience across government, higher education, and AI-product environments to drive data-led decision-making. Proficient in Azure, Databricks, AWS and advanced SQL, they blend technical depth with clear communication to translate complex data challenges into actionable insights for senior stakeholders.

Their technical acumen is evidenced by designing end-to-end analytics solutions at a Government Department, where they integrated Azure Databricks, Azure Data Lake and Power BI to deliver governed, scalable reporting. Additional achievements include building LangChain-powered conversational agents for schema exploration, automating Python-based LLM classification pipelines, and reducing organisational reporting cycles by more than half through robust data-pipeline automation and governance frameworks.

Complementing hands-on expertise, they demonstrate leadership through mentoring analysts, steering cross-functional collaboration, and influencing strategic committees. Experience spans academic research at a Research Institution and product-oriented innovation at a Technology Vendor, showcasing adaptability across domains. This blend of technical mastery, stakeholder engagement and strategic vision positions them as a valuable asset for organisations seeking to maximise the impact of their data assets.