Real-time Data Pipeline for Enhanced Cryptocurrency Trading Insights

In the fast-paced world of cryptocurrency trading, having access to real-time data and analytics can be a game-changer for investors. Our startup, CryptoInsights, is developing a platform that offers real-time trading insights to our users. We aim to build a robust data pipeline that ingests vast amounts of market data from various exchanges, processes it in real-time, and provides actionable insights. The project involves setting up Apache Kafka for event streaming, utilizing Apache Spark for data processing, and orchestrating workflow using Apache Airflow. The transformed data will then be stored in Snowflake and accessed through BigQuery for advanced analytics. We also plan to integrate MLOps practices to continuously improve our predictive models. Your role is crucial in architecting this pipeline, ensuring data reliability and observability while optimizing for performance and scalability. This project must be completed within a 4-6 week timeline due to the high demand for real-time insights in the market.