Azure Data Engineer

Candidate Description

With over six years dedicated to data engineering, this professional combines deep expertise in Azure, Snowflake, and SQL Server to deliver resilient data platforms across retail, healthcare, and education sectors. They have consistently demonstrated an ability to modernise legacy environments, notably at a Retail Company where they orchestrated high-volume data flows and automated reporting for 250+ stores, and at a Healthcare Company where a full migration to Snowflake transformed analytical performance.

Their technical acumen shines through advanced skills in ETL/ELT pipeline design, Azure Data Factory orchestration, Databricks processing, and performance-tuned T-SQL development. Leveraging tools such as Azure DevOps, SSIS, Power BI, and Airflow, they have driven 60 % reductions in processing times and annual cost savings of AUD 50 K. Key achievements include architecting CDC-enabled data ingestion frameworks, consolidating SSAS models to lower server load, and integrating benchmarking data for regulatory analytics.

Beyond hands-on engineering, they excel in stakeholder engagement, mentoring junior team members, and translating business requirements from supply-chain, e-commerce, and finance teams into scalable technical solutions. Their track record across a Retail Company, a Healthcare Company, an Educational Institution, an E-commerce Company, and a Consulting Firm highlights adaptability, leadership, and a commitment to continuous improvement—qualities that position them as a valuable asset for organisations seeking to unlock data-driven insights at scale.