Real-Time Data Infrastructure Enhancement for Event Streaming and Analytics

We are a rapidly growing technology company specializing in innovative solutions for businesses. As data continues to grow in volume and complexity, our need for a more agile, real-time data processing infrastructure has become critical. We are looking to enhance our data capabilities by implementing a state-of-the-art real-time data infrastructure. The project's primary goal is to enable real-time event streaming and analytics, facilitating swift decision-making and enhancing operational efficiency. This will involve integrating technologies such as Apache Kafka for scalable data streaming, Spark for real-time analytics, and dbt for data transformations. Additionally, we aim to leverage modern data warehouses like Snowflake or BigQuery and orchestrate workflows using Apache Airflow. The successful implementation of this project will enable our analytics team to access real-time insights, drastically improving our service delivery and competitive edge in the market. The project demands expertise in data engineering, real-time processing, and MLOps to ensure seamless integration and future scalability.