Data Engineering Consultant – Azure & Snowflake

Candidate Description

With over 14 years in IT and a decade dedicated to data and analytics, this professional excels in architecting and delivering modern cloud-based data platforms. Their expertise spans Snowflake, Azure, BigQuery and leading ETL tools, complemented by advanced proficiency in SQL, Python and data-modelling techniques that drive business value across financial services, retail, consulting and e-commerce environments.

Demonstrating deep technical acumen, they have designed high-throughput pipelines using Azure Data Factory, Databricks, Logic Apps and Service Bus, implemented Kimball and medallion architectures, and championed CI/CD and DataOps practices with Azure DevOps. Notable achievements include building a 6 TB Snowflake warehouse for a Parent Company of Multiple Fitness Brands serving 900 daily Power BI users, reducing legacy ETL scope at a Financial Institution from 7,000 to 400 jobs, and enabling a Data Integration Platform to ingest 200,000 MySQL tables through an innovative PoC.

Beyond hands-on engineering, they provide strategic leadership—previously heading a seven-strong data-engineering team at an E-commerce Platform—and communicate complex concepts effectively to stakeholders. Adept in agile and scrum environments, they consistently embed security, governance and performance best practices into every solution, positioning organisations for scalable, data-driven decision-making.