Real-Time Data Pipeline Development for Enhanced 3D Printing Efficiency

As a rapidly growing startup in the 3D Printing & Additive Manufacturing industry, we are faced with the challenge of optimizing our production processes to meet increasing demand. We aim to build a robust real-time data pipeline that captures and processes data from various sensors and production equipment, allowing for timely analysis and decision-making. This project involves setting up a scalable data infrastructure using technologies such as Apache Kafka for event streaming, Spark for real-time analytics, and Snowflake for data warehousing. The goal is to create a highly efficient data architecture that supports continuous monitoring and optimization of our 3D printing operations. We are looking for a freelancer who can not only build the data pipeline but also integrate data observability and MLOps practices to ensure the system's reliability and scalability. The successful completion of this project will significantly improve our production efficiency, reduce waste, and increase our competitive edge in the market.