Azure Data Consultant

Candidate Description

With over six years of hands-on experience in cloud data engineering, this professional excels at designing and optimising Azure-based analytics platforms across Healthcare, Consulting, and Telecommunications sectors. They bring deep expertise in Azure Data Lake, Databricks, Data Factory, and Cosmos DB, complemented by robust programming skills in Python, Java, and C#. Engagements at a Healthcare Provider, a Consulting Firm, a Technology Provider, and a Telecommunications Company showcase their ability to drive data-driven transformation in complex enterprise environments.

Demonstrating a strong command of modern data-platform components, they have delivered high-performance ETL pipelines, automated machine-learning workflows, and CI/CD-enabled deployment processes using Azure DevOps. Key accomplishments include reducing pipeline build time by 30% through reusable ADF templates, migrating 40+ disparate data sources into a unified lakehouse architecture, and implementing cost-management tooling that uncovered substantial Azure savings for stakeholders. Their toolset spans Synapse Analytics, Power BI visualisation, and advanced data-governance practices within agile and DevOps frameworks.

Adaptable and collaborative, they regularly mentor junior engineers, liaise with cross-functional teams, and translate complex technical concepts into actionable business insights. Their postgraduate training in Information Technology and Microsoft Azure certifications reinforce a commitment to continual learning. By blending technical depth with effective stakeholder management, they consistently deliver scalable, secure, and value-focused data solutions that empower organisations to make informed, data-driven decisions.