Real-time Data Engineering Platform for Optimized Mineral Extraction

As a forward-thinking mining company, we recognize the critical need to optimize our mineral extraction processes through advanced data engineering solutions. We are launching a project to build a real-time data platform that leverages modern technologies such as Apache Kafka for event streaming and Spark for data processing. The platform will integrate with our existing systems using Apache Airflow for workflow automation, and dbt for data transformation and modeling. Our goal is to implement a data mesh architecture to decentralize our data management and make it more scalable and resilient to changes. By incorporating data observability practices, we will ensure higher data quality and reliability, allowing for accurate real-time insights. Furthermore, we plan to integrate MLOps to facilitate the deployment of machine learning models that predict and enhance extraction efficiency. The successful completion of this project will enable our company to make data-driven decisions swiftly, reduce operational costs, and increase overall productivity. We are looking for a freelancer with expertise in these technologies to help us achieve these ambitious goals.