Ali Kazmi

Senior Data Engineer @Arbital Health

San Francisco, CA, US

Develop, architect and maintain the end-to-end data pipeline for Arbital Health’s VBC platform using Python and R, orchestrated via Airflow on Amazon MWAA. This pipeline ingests, transforms, and validates complex healthcare datasets to support risk-based contract measurement and adjudication.• Specialize in processing and analyzing CMS claims data and benchmark datasets such as MarketScan, ensuring accuracy and consistency in data used for contract performance and risk stratification.• Integrate AWS services including Redshift, S3, and Batch to build a scalable, HIPAA-compliant data infrastructure that supports automated workflows, robust data validation, and timely reporting for internal and client-facing stakeholders.• Design and optimize workflows for loading and transforming large healthcare datasets into Redshift and Databricks, enabling actuarial and analytics teams to generate real-time contract performance insights and risk stratification outputs.• Collaborate closely with actuaries to translate complex business logic and VBC contract requirements into deployable, maintainable data workflows and production code, bridging the gap between actuarial modeling and engineering implementation.• Serve as the de facto scrum master for the engineering team : leading sprint planning, managing the Jira board, and aligning priorities with the product team to ensure timely delivery of high-impact features and platform enhancements.• Mentor engineers and actuarial analysts on pipeline architecture, coding standards, and Airflow DAG design, fostering a collaborative engineering culture and improving onboarding and team-wide code fluency.

Georgia Institute of Technology

Master of Science - MS, Computer Science

UC Irvine

Bachelor of Science - BS, Computer Science

Auburn University

Doctor of Philosophy - PhD, Computer Science