Data Engineer

Candidate Description

A seasoned Data Engineer with hands-on expertise designing and optimising Azure-centric data platforms, the candidate brings a strong foundation in Python, SQL and cloud architecture to drive reliable, high-performance analytics solutions. With successful projects for a government agency and a healthcare provider, this professional couples deep technical skill with an ability to translate complex data concepts into actionable insights for business stakeholders.

Their technical acumen spans end-to-end data pipeline architecture, ETL/ELT development, Lakehouse design and advanced monitoring using Azure Logic Apps, Databricks and Microsoft Fabric. Highlights include building real-time alerting frameworks adopted as standard reliability tools, achieving over 50% runtime reductions through SQL and PySpark optimisation, and devising watermark-based freshness detection that cut data-latency notifications from hours to minutes.

Known for clear communication and cross-functional collaboration, they routinely lead walkthroughs, stakeholder demos and solution discussions that align expectations and accelerate project delivery. Adept at Agile practices and CI/CD-driven DevOps for data platforms, the candidate blends strategic thinking with hands-on delivery, making them a valuable asset for organisations seeking robust, scalable and business-aligned data engineering solutions.