Azure Data Engineer

Candidate Description

Specialising in Azure cloud data platforms, this Azure Data Engineer brings over five years of experience designing and delivering enterprise-scale analytics solutions across financial services, telecommunications and healthcare environments. Adept at leveraging Azure Data Factory, Synapse Analytics, Databricks and Snowflake, they create robust, secure and high-performance data architectures that empower business stakeholders with timely insights.

Their technical acumen spans end-to-end ETL development, real-time streaming with Kafka and Spark, and CI/CD automation using Azure DevOps, Git and Jenkins. Highlights include leading a Financial Technology Company's Major Initiative to modernise credit-card analytics pipelines, migrating legacy SSIS workloads into cloud-native architectures, and engineering Snowflake solutions for a Major Telecommunications Company that enhanced data-load efficiency. Proficiency in Python, SQL and Terraform is complemented by strong data-governance and quality-assurance practices.

Recognised for collaborative leadership, they thrive in Agile/Scrum teams, translating complex requirements into scalable data products while mentoring peers on best practices. Holding both Microsoft Azure Data Engineer Associate and AWS Solutions Architect certifications, this individual offers a rare blend of multi-cloud expertise, domain versatility and a proven track record of accelerating digital transformation through data-driven solutions.