Cloud Data Engineer

Candidate Description

With over eleven years steering data-engineering solutions, this professional specialises in architecting and scaling cloud-native data platforms across Google Cloud Platform, AWS and Snowflake environments. Their breadth of exposure spans retail, finance and logistics domains, underpinned by deep expertise in BigQuery, Dataform, Airflow, Python and SSIS to deliver single sources of truth and analytics-ready datasets.

Adept at advanced pipeline orchestration, they have driven initiatives such as migrating Matillion workloads to Dataform at a major retailer, building complex payment-reconciliation models integrating major payment providers, and optimising Snowflake performance for a financial services company. Their portfolio highlights robust data-quality frameworks, cost-optimised query architectures, serverless AWS data-lakes and highly-automated monitoring solutions, all executed within disciplined SDLC practices.

Combining technical leadership with collaborative stakeholder engagement, they mentor junior engineers, conduct rigorous code reviews and translate business objectives into scalable data solutions. This adaptability across consulting, education, manufacturing and fast-moving retail landscapes positions them as a versatile data-engineering leader capable of unlocking actionable insights and driving data-driven decision-making for any enterprise.