Multi-market healthcare provider scaling data infrastructure across Asia
Fullerton Health operates clinical and administrative services across nine Asian markets, with a 5,000+ employee base anchored in Singapore. The tech stack reveals a data-centric operation: Azure cloud dominance (Data Lake, Data Factory, SQL, Service Bus), Python + SQL for transformation, and orchestration via Apache Airflow and Prefect. Active projects around AI-ready data lakes and ML feature stores, paired with pain points in data platform modernization and compliance automation, indicate an organization moving from legacy healthcare IT toward real-time analytics and fraud detection.
Fullerton Health is a healthcare solutions provider operating clinical and administrative services across nine markets in Asia, with regional headquarters in Singapore and approximately 5,000–10,000 employees. The company delivers both healthcare provision (primary care, diagnostics, telemedicine, occupational medicine) and healthcare management services (third-party administration, medical benefits management, population health management, digital health). Revenue-bearing operations span corporate health programs, executive screening, onsite medical services, and clinical diagnostics. Internal operations span finance, compliance, supply-chain management, and data infrastructure serving both care delivery and enterprise risk functions.
Primary tools: Excel, Microsoft Office, Azure (Data Lake, Data Factory, SQL, Blob Storage, Service Bus), GCP, AWS, Python, SQL, Apache Airflow, Prefect. Stack reflects hybrid cloud strategy with Azure dominance and orchestration-heavy data pipelines.
AI-ready data lake, real-time data pipelines, AI/ML feature store, AI-driven healthcare automation, operations monitoring dashboards, BEPS 2.0 compliance preparation, and sourcing/transfer pricing projects. Projects signal modernization of analytics and compliance infrastructure.
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