Bianca Queen

At Factumsoft, I build real-time healthcare data pipelines that improve prescription accessibility, pricing insights, medication eligibility, and clinical decision-making for providers and patients.

I've designed ETL workflows with Python, Spark, Apache Kafka, Airflow, and dbt; built Snowflake and Amazon Redshift warehouses; and migrated legacy architecture to scalable AWS cloud infrastructure. I also integrate AI-assisted analytics and machine learning models to support medication filtering, adherence prediction, and personalized patient care.

Previously at JetJet Technologies, I developed AWS Glue, S3, Hadoop, Spark, BigQuery, Snowflake, PostgreSQL, Kubernetes, and Tableau solutions for prescription analytics and real-time care decisions.

I began as a Data Analyst at WiredHive, where I analyzed prescription trends and created Tableau reporting. Across my work, I focus on reliable data, HIPAA-aware security, healthcare compliance, and practical insights that make care more accessible and clear.