Real-time Data Pipeline Implementation for Nuclear Energy Operations

As a leading scale-up in the nuclear energy sector, we are committed to leveraging advanced data technologies to optimize our operations and meet stringent regulatory requirements. We aim to develop a real-time data pipeline that will facilitate seamless data integration and analytics across our various systems. This project will involve setting up a robust data mesh architecture that enables decentralized data management and fosters collaboration between different teams. Key components of the project will include implementing Apache Kafka for event streaming, utilizing Spark for data processing, and orchestrating workflows with Airflow. The chosen solution must integrate smoothly with our existing Snowflake and BigQuery environments and enable efficient ML model deployment through MLOps best practices. By achieving real-time data observability, we anticipate improved decision-making capabilities and enhanced compliance monitoring.