Implementation of a Scalable Real-Time Data Pipeline for Enhanced Analytics

As a leading player in the software development industry, our enterprise is focused on leveraging data to drive innovation and improve service delivery. We are looking to implement a scalable real-time data pipeline that will enable our teams to access and analyze data instantaneously. This project involves setting up a comprehensive data infrastructure using key technologies such as Apache Kafka, Spark, and Airflow to support real-time event streaming and processing. The proposed solution will facilitate a data mesh architecture, allowing different business units to access and utilize data without dependencies on centralized data teams. It will also incorporate MLOps practices to streamline the deployment of machine learning models across the organization, and data observability tools to ensure data quality and reliability. We anticipate that this infrastructure will empower our product, sales, and marketing teams to derive actionable insights, thereby improving customer experiences and driving business growth. The successful candidate will have experience in designing and implementing such systems in a scalable and efficient manner.