Data Pipeline Optimization for Real-time Laboratory Results

In the Laboratory & Testing industry, timely access to data is crucial for making informed decisions that can affect patient outcomes and compliance with regulations. Our startup currently faces challenges in processing and delivering real-time laboratory results efficiently. The existing data infrastructure is unable to handle high-volume, real-time data streams, leading to delays and inaccuracies in reporting. We are looking to implement a robust data engineering solution that leverages the latest technology trends such as Apache Kafka for event streaming, Spark for processing, and Airflow for orchestrating workflows. The objective is to design and deploy a scalable, efficient data pipeline that integrates seamlessly with our existing systems and can be monitored using data observability tools. This will ensure our clients receive accurate, real-time reports, enabling them to act swiftly and effectively. The solution will involve data mesh architecture to decentralize data ownership and enhance modularity across different teams. The successful completion of this project will position us to offer superior service delivery and maintain a competitive edge in the industry.