Azure & Power BI Data Engineer

Candidate Description

With over five years of progressive experience in data engineering and business intelligence, this professional excels in architecting Azure and Snowflake solutions that transform raw data into actionable insights. They bring cross-sector exposure spanning financial services, healthcare, and professional services environments, underpinned by strong analytical and stakeholder-engagement capabilities. Breadth of expertise covers cloud data warehousing, real-time integration and advanced reporting with Power BI.

Adept at designing high-performance dimensional models and automated ELT pipelines, they leverage tools such as Azure Data Factory, dbt, SSIS and Kafka to deliver governed, scalable datasets. Key achievements include decommissioning legacy SSRS reports through Power BI dashboards, co-leading a healthcare organization's National Data Platform on Snowflake, and implementing Azure DevOps CI/CD pipelines that reduced manual data activities by 60 percent. Their technical stack extends to Python scripting, Git-based version control and modern lakehouse architectures using Microsoft Fabric.

Beyond technical delivery, this individual demonstrates leadership through mentoring junior developers and tutoring aspiring coders. They collaborate fluently with business analysts, compliance teams and executive stakeholders, translating complex requirements into robust solutions. Adaptable across diverse industries and methodologies (Agile, Scrum), they consistently drive efficiency, data integrity and business value, positioning them as a well-rounded data engineering specialist prepared to advance enterprise analytics initiatives.