At Cardinal Health, I build healthcare data platforms in Azure for clinical analytics, drug discovery, and patient outcome prediction. I work with patient and prescription data, moving it from healthcare sources into data lakes and analytics systems.
I’ve worked on patient risk stratification and drug efficacy analysis with Data Science teams, and developed pipelines for clinical reporting and regulatory requirements. I also used Spark and Python for clinical text analytics on physician notes and lab reports.
At Pfizer, I worked on AWS data pipelines for drug discovery and clinical trial analytics. I developed batch and streaming applications with Spark and Scala, and supported machine learning models for patient stratification and treatment response prediction.
Earlier, as a Software Engineer at Kaseya, I developed Azure data workflows and ETL jobs, and worked on a web application using C#, MVC .NET, and JavaScript. My work across healthcare, pharmaceutical, and enterprise data has included cloud platforms, data warehousing, and streaming systems.
