Azure Data Engineer

Candidate Description

With over a decade of experience in data engineering and business intelligence, this professional excels at transforming raw information into actionable insights for transportation, consulting and healthcare organisations. Adept at the full Microsoft data stack, they have repeatedly delivered high-value solutions leveraging Azure, SQL Server and Power BI while serving companies such as a Transportation Company, a Consulting Firm and another Consulting Firm. Their ability to interpret complex business requirements and translate them into robust data models underpins consistent success across banking, retail and telecommunications analytics initiatives.

A proven track record is evident through deep technical competence in SSIS-driven ETL development, multidimensional SSAS modelling and interactive reporting using Power BI and DAX. Leveraging Azure Data Factory and the emerging Microsoft Fabric platform, they design scalable, cloud-native architectures that accelerate time-to-insight. Key achievements include automating daily data ingestion pipelines, building transport-industry KPIs that guide operational improvements, and consolidating disparate data sources into cohesive enterprise warehouses—all executed within disciplined SDLC and ITIL frameworks.

Beyond technical delivery, they foster collaborative relationships with cross-functional stakeholders, mentor junior developers and champion data-governance best practices. Exposure to diverse sectors and geographies demonstrates adaptability and cultural awareness, while certifications in Microsoft technologies attest to an ongoing commitment to professional growth. Organisations seeking a hands-on data engineer with strategic vision will benefit from their blend of analytical rigour, solution design expertise and outcome-focused mindset.