Real-Time Data Pipeline Implementation for Flight Operations Optimization

Our company in the Aerospace & Defense sector is looking to transform our flight operations by integrating a real-time data pipeline that will enable efficient monitoring, reporting, and analysis of flight data. The project involves creating an end-to-end data engineering solution using Apache Kafka for event streaming, Spark for real-time analytics, and Airflow for workflow automation. The objective is to establish a robust data mesh architecture that facilitates data observability and MLOps practices, ensuring data quality and reliability. Additionally, we aim to utilize Snowflake or BigQuery for scalable data warehousing and dbt for data transformation and modeling. By optimizing our flight operations through enhanced data visibility, we anticipate reducing operational costs, minimizing flight delays, and improving overall service quality. The project requires a collaborative approach with our IT team to ensure seamless integration with existing systems and adherence to industry regulations.