Azure Data Engineer

Candidate Description

With over five years of hands-on experience in cloud data engineering, this professional excels at delivering enterprise-grade analytics platforms across consulting and financial sectors. Specialising in Azure and Microsoft Fabric, they have designed unified lakehouse architectures, robust ETL/ELT pipelines and governed data models that empower organisations such as a Financial Institution, a Financial Services Company and an Engineering Company to extract timely, actionable insights.

Their technical acumen spans a broad spectrum of modern data stack components including Azure Data Factory, Databricks (PySpark), Synapse Analytics, Snowflake and Power BI. Adept at implementing metadata-driven pipelines, Delta Lake frameworks and real-time streaming solutions with Event Hubs and a Messaging System, they consistently drive performance, scalability and data quality. Achievements include automating CI/CD with Azure DevOps & Bicep, deploying Unity Catalog-based governance, and crafting composite Power BI models that enhance user experience without compromising security.

Beyond technical delivery, they thrive in Agile/Scrum environments, collaborating seamlessly with cross-functional stakeholders and mentoring junior engineers on best practices. Their blend of deep cloud expertise, strong DevOps mindset and commitment to data governance positions them as a valuable asset for organisations seeking to modernise analytics capabilities and unlock strategic business value.