Real-Time Data Pipeline Development for Supply Chain Optimization

As a burgeoning startup in the food & beverage production industry, we face critical challenges in optimizing our supply chain. With increasing demand and the necessity to maintain quality while minimizing waste, we need a state-of-the-art data engineering solution. We are looking to implement a real-time data pipeline using cutting-edge technologies like Apache Kafka for event streaming, Spark for large-scale data processing, and Airflow for orchestrating complex workflows. The goal is to integrate data from various sources — such as production equipment sensors, supplier databases, and logistics systems — into a unified platform for real-time analytics. By doing so, we aim to identify bottlenecks, predict demand fluctuations, and adjust production schedules swiftly. This initiative not only promises operational excellence but also ensures we stay competitive in a rapidly evolving market. We anticipate the project to last 4-6 weeks, with a budget between $5,000 and $25,000, and we require someone with proven expertise in the latest data engineering trends.