At Disney Cruise Line, I engineered and curated the core Revenue Management datamart, creating the structures, transformation logic, business rules, and dependencies that support reporting, forecasting, analytics, automation, and operational processes.
I architected a production data ecosystem with ETL pipelines and integrations across Oracle, Python, AWS, SharePoint, S3, network resources, Excel, and Tableau. I also designed and implemented a migration to Prefect 3, replacing legacy batch and GitLab-scheduled processes with centrally orchestrated production workflows.
I'm leading the implementation of dbt for the production Revenue Management datamart, developing modular SQL models, automated tests, source definitions, and documented lineage. I also built and validated an agentic data intelligence proof of concept connecting a Streamlit application to Snowflake Cortex services and a governed Revenue Management semantic model.
I approach complex, ambiguous problems by understanding the need, evaluating possibilities, and designing, building, testing, documenting, and implementing durable solutions. My work spans data architecture, ETL, automation, application development, systems integration, and production platform ownership.
