Real-Time Data Pipeline Implementation for Enhanced Robotics & Automation Efficiency

In the dynamic field of Robotics & Automation, our company faces challenges in maintaining operational efficiency amidst rapidly changing environments. To address this, we aim to implement a robust real-time data pipeline. This project involves utilizing technologies such as Apache Kafka for real-time event streaming, Apache Spark for processing large volumes of data swiftly, and Airflow for workflow orchestration. Additionally, dbt will be used for data transformation, and Snowflake or BigQuery will serve as the data warehousing solutions. The project will enable our systems to perform real-time analytics, providing actionable insights into robotics operations, reducing latency in data handling, and ensuring data observability. By integrating these technologies, we aim to create a data mesh that supports decentralized and scalable data infrastructure. We seek a team with expertise in these technologies to construct a seamless pipeline that enhances our decision-making capabilities, cuts down operational downtime, and maximizes automation efficiency.