Background
Red Cross Lifeblood is a division of the Australian Red Cross, dedicated to providing life-giving blood, plasma, and biological products to those in need. With a mission rooted in saving lives, Lifeblood plays a critical role in the healthcare system by ensuring a safe, secure, and reliable supply of blood and related services across the country.
The Challenge
Lifeblood needed to modernise its data infrastructure to support real-time visibility into blood donations and demand. Their existing systems were not optimised for low-latency processing, limiting their ability to respond quickly to shifting supply and demand dynamics. The need for a scalable, observable, and repeatable data pipeline was urgent.
Our Approach
Lifeblood and Exco Partners conducted a comprehensive assessment of the existing data architecture, identifying key latency bottlenecks that hindered timely insights. To address these challenges, the team designed and implemented a real-time data ingestion and transformation framework using Delta Live Tables on Databricks.
This solution was underpinned by a robust testing and observability layer, ensuring high data quality and continuous pipeline health monitoring. The architecture was built to be modular and reusable, enabling scalability for future reporting and analytics needs.
