Health Big Data Pipeline Deployment

This project delivers a high-performance big data processing environment that leverages industry-standard tools such as Apache Spark, Hadoop Distributed File System (HDFS), and Apache Kafka for real-time data streaming.

Sapashe developed end-to-end ETL processes, automated pipeline orchestration, and distributed compute systems capable of processing millions of health records efficiently. These workflows support national health programs, research institutions, and data-centric enterprises requiring fast, reliable, and scalable analytics.

The platform enhances reporting speed, improves data accuracy, and lays the groundwork for machine learning model deployment, advanced query analysis, and predictive intelligence systems.