I am a Data Engineering Manager and Microsoft Fabric Architect working across large-scale enterprise environments, with a strong focus on helping organizations modernize legacy data platforms into governed, automated, and scalable analytics solutions using Microsoft Fabric and the broader Azure data ecosystem. My work spans architecture, automation, and enablement. I am the creator of FabricCatalyst, an automation framework designed to close gaps in Fabric’s native deployment and CI/CD capabilities, and I actively support customers and internal teams with Git-enabled Fabric implementations, environment isolation strategies, and production-grade deployment patterns. Much of my community contribution centers on translating complex platform capabilities into practical, repeatable approaches that teams can adopt immediately. I am an active speaker and technical writer, regularly presenting at user groups and conferences and publishing in-depth articles focused on Fabric, Databricks, Azure Data Factory, SQL modernization, and DevOps for analytics. My content emphasizes real-world trade-offs, architectural decision-making, and lessons learned from enterprise adoption—topics that resonate strongly with practitioners operating at scale. Within the Microsoft Fabric Community, I aim to contribute clear, solution-oriented guidance, support peer learning, and provide constructive feedback to product teams based on hands-on experience.