Azure Data Engineer

Candidate Description

A seasoned Lead Data Engineer with nine years in consultancy and an additional four in technology firms, this professional excels at architecting modern data platforms and cloud solutions across Azure, AWS and a Search Engine's Cloud environments. They possess deep expertise in Azure Synapse Analytics, Microsoft Fabric, Databricks and Snowflake, complemented by strong coding skills in Python, PySpark and SQL. Demonstrated versatility is underpinned by successful engagements in marketing technology, financial services, telecommunications and government sectors.

Their technical acumen is evidenced through the design of high-throughput ingestion pipelines, CI/CD automation and enterprise data-warehouse deployments. Adept at Kimball dimensional modelling, SCD2 patterns and ETL orchestration, they have led cloud migrations, built AI platforms on AKS and delivered marketing insight systems that integrate a Search Engine, a Video Platform, a Software Company and a Professional Network datasets. Key achievements include reducing a superannuation client s reporting cycle from one week to one hour and integrating multi-channel media data into a unified Snowflake repository for a Marketing Agency.

Combining leadership with hands-on expertise, they have managed and mentored junior engineers, scoped agile project pipelines and collaborated closely with stakeholders to deliver measurable business value. Experience across a Consulting Firm, a Marketing Agency and a Financial Institution highlights adaptability to diverse domains and complex challenges. This individual offers a rare blend of strategic vision, technical depth and delivery excellence, making them a valuable asset for organisations pursuing data-driven transformation.