Data Engineer with nearly 7 years of experience building scalable data pipelines and modern cloud platforms using Microsoft Fabric, Azure Data Factory, Databricks, PySpark, and SQL.
I have delivered solutions across 19 source systems, 800+ data assets, and 9,000+ attributes. My work includes reducing Fabric costs by 87% saving over AUD 130K annually and improving pipeline runtime from 13 hours to approximately 2 hours through CDC-based incremental loading.
Experienced in medallion architecture, data quality, governance, CI/CD, and leading data engineering teams to deliver reliable end-to-end data solutions. Engaged discussion and collaboration in Internal Departments, Clients and Stakeholders.
