Ryan Frueh

At Vizient, I architect an AI Healthcare Lakehouse Platform on Azure that integrates clinical, claims, provider, and operational data, reducing analytics delivery time by 72%. I also delivered an AI Clinical Intelligence Copilot using Claude APIs, LangChain, vector search, and certified healthcare data models, cutting manual report generation by 65%.

I build scalable lakehouse, warehouse, ELT, and streaming platforms with Databricks, Snowflake, Azure, AWS, Python, SQL, PySpark, dbt, Airflow, and Kafka. My work includes processing 20M+ healthcare events and 5+ TB of healthcare data daily while implementing governance, lineage, RBAC, HIPAA-compliant controls, and reliable AI-ready datasets.

Previously at Walmart, I modernized retail analytics by migrating legacy ETL workloads to an AWS-based Snowflake lakehouse, reducing batch processing time by 68%. I built data quality frameworks that reduced production defects by 55%, streaming pipelines that moved inventory visibility from hours to minutes, and cloud optimizations that lowered annual costs by 30%.

I began building healthcare reporting and analytics solutions at Texas Health Resources, where I created trusted reporting warehouses and Power BI and Tableau dashboards that reduced executive reporting preparation time by 70%. I enjoy partnering with clinical, finance, product, analytics, and operational leaders to turn complex data into measurable business outcomes.