Real-Time Data Integration and Analytics for 3D Printing Efficiency

As a scale-up in the 3D Printing & Additive Manufacturing industry, we are positioned at the forefront of innovation but face challenges in achieving real-time data processing and analytics. Our current systems are unable to provide the necessary real-time insights required for dynamic decision-making and optimizing our printing processes. The project involves designing and implementing a scalable data pipeline using technologies such as Apache Kafka for event streaming, Spark for data processing, and Airflow for workflow management. Additionally, integrating data observability with tools like Databricks or Snowflake will ensure data accuracy and reliability. By adopting a data mesh architecture, we aim to decentralize data ownership and improve cross-functional collaboration. The ultimate goal is to enhance our production capabilities, reduce waste, and increase product quality, directly impacting our bottom line and customer satisfaction. The successful implementation of this project will set a new standard in our data engineering capabilities, paving the way for future innovations and growth.