Azure Data Analyst/Engineer

Candidate Description

With over four years of hands-on experience transforming complex data into strategic insights, this data professional excels at bridging finance and logistics domains. They possess deep expertise across modern analytics stacks—leveraging Power BI, Azure and AWS platforms—to deliver high-value dashboards, optimise supply-chain visibility and drive efficiency for organisations such as a Technology Company and a Financial Institution.

Their technical acumen is demonstrated through end-to-end data-pipeline engineering with PySpark, Airflow and Azure DevOps, the creation of SSAS semantic models to bypass Power BI limitations and the orchestration of CI/CD health analytics via ElasticSearch. Key achievements include deploying the company's first enterprise-wide SLA monitoring solution and generating AUD 300 k+ monthly recurring revenue at a Financial Institution by rolling out embedded Power BI lender reports. Adept at Agile delivery, they integrate rigorous testing, version control and automated alerting to ensure robust, scalable solutions.

Beyond technical prowess, this individual fosters cross-functional collaboration, mentoring junior analysts in stakeholder engagement and documentation best practice while translating complex analytics into business-friendly narratives. Their track record across consulting, financial services, retail and transportation environments underlines an adaptable mindset and a commitment to delivering measurable value through data-driven decision-making.