Principal Data Engineer with 11+ years leading cloud-native, AI-powered data platforms, directly impacting systems serving 10M+ users worldwide. Increased ML model performance by 22% via curated, labeled, and balanced datasets, driving crisis response accuracy. Designed and deployed 30+ enterprise-grade ETL pipelines handling 20TB+ data monthly, achieving 99.98% uptime. Automated MLOps and DevOps workflows, cutting deployment time by 40% and increasing data readiness by 3x Partnered with cross-functional ML teams to operationalize AI features that enhanced clinical staff performance by 30%+.
Developed privacy-first data pipelines and anonymization layers ensuring 100% compliance with HIPAA, GDPR, and CCPA. Influenced system architecture for federated crisis data models, improving regional response accuracy by 25%. Led API-first designs integrated with 50+ partners, reducing partner onboarding times by 60%