Real-time Data Mesh for Enhanced Customer Experience in Telecommunications

In the fast-paced world of telecommunications, customer experience is the key differentiator. Our enterprise is focused on building a robust data engineering solution to transform how we manage and analyze data in real-time. The project aims to design and implement a data mesh architecture, facilitating decentralized data management, thereby empowering individual teams across the organization. By integrating technologies such as Apache Kafka for event streaming, Spark for real-time analytics, and Airflow for orchestrating data workflows, we aim to create a dynamic platform that supports rapid data ingestion, processing, and insights generation. The solution should also incorporate MLOps practices to ensure seamless deployment and monitoring of machine learning models, enhancing predictive analytics capabilities. Furthermore, leveraging Snowflake or BigQuery as our data warehouse, we plan to enable scalable data storage and retrieval. The ultimate goal is to significantly improve customer satisfaction by offering real-time personalization and more efficient service delivery.