Senior Azure Data Engineer

Candidate Description

With extensive experience across healthcare, consulting and financial-services domains, this Senior Data Engineer specialises in architecting modern data platforms on Azure and AWS. They couple deep data-modelling expertise with a solid grounding in machine-learning techniques, honed through roles at a Healthcare Organization, a Consulting Firm, a Financial Services Company and another Consulting Firm. Adept at stakeholder engagement, they consistently translate complex business requirements into scalable, secure and high-performance data solutions.

Their technical acumen is showcased through hands-on delivery of Azure Data Factory pipelines, Synapse-based warehousing, Snowflake deployments, and Talend-driven ETL workloads. Proficiency spans Python, PySpark, SQL/T-SQL, DAX and Java, complemented by CI/CD automation in Azure DevOps and robust governance practices. Key achievements include automating address-validation workflows in a Consulting Firm's DataFoundation program, implementing CDC strategies for Oracle-to-AWS ingestion, and building Power BI dashboards with row-level security that empower data-driven decision-making.

Offering proven leadership as a project coach and mentor, this professional thrives in Agile environments and collaborates effectively with cross-functional teams. Their blend of data-engineering depth, machine-learning insight and consultative approach positions them to drive transformative analytics initiatives and deliver measurable value to forward-thinking organisations.