Azure Data Engineer

Candidate Description

With more than 16 years navigating the Public Sector, Financial Services, Utilities and Telecommunications landscapes, this data and AI professional excels in architecting and optimising enterprise-scale platforms on Azure and AWS. Adept at engaging C-suite stakeholders and cross-functional teams, they leverage deep expertise in Azure SQL, Snowflake, Databricks and Power BI to deliver resilient, high-value analytics solutions that align with organisational strategy and drive measurable business outcomes.

Their technical acumen is evidenced by hands-on delivery of complex data-platform migrations, CI/CD pipelines and predictive-analytics models. Having led major engagements for strategic accounts such as a Major Retailer, a Bank, and another Bank, they routinely restore critical SLAs, design cost-optimisation strategies that trim up to 30% in spend, and craft incident-response frameworks that sustain 99.9% uptime. Additional accomplishments include modernising a Government's big-data environment to Snowflake on Azure and spearheading an Engineering Firm's global Snowflake-on-Azure rollout.

Demonstrating leadership as a Senior Customer Engineer at a Technology Company and previously as Principal Data Engineer, Data Architect and Technical Lead, they mentor teams, orchestrate envisioning workshops and champion Agile delivery practices. Their blend of strategic vision, hands-on engineering skill and stakeholder-management prowess positions them as a versatile asset capable of accelerating data-driven transformation across industries.