Real-Time Data Pipeline for Enhanced Cryptocurrency Market Insights

As a leading platform in the Cryptocurrency & DeFi industry, we are experiencing rapid growth and require a more sophisticated approach to data processing and analysis. Our goal is to develop a real-time data pipeline that can handle large volumes of market data from various sources, providing insights into trading trends, user activity, and dynamic market conditions. This project will leverage Apache Kafka for event streaming, Spark for data processing, and Snowflake for data warehousing to ensure scalability and efficiency. Key responsibilities include designing data workflows using Airflow, implementing data transformations with dbt, and ensuring data quality and observability. The successful execution of this project will enable our analytics team to generate actionable insights more quickly, ultimately driving better investment strategies and customer engagement.