Real-time Data Pipeline Optimization for DeFi Trading Insights

As a forward-thinking startup in the Cryptocurrency & DeFi industry, we recognize the critical importance of real-time data processing for trading insights. Our current infrastructure struggles with latency issues and lacks the scalability needed to handle growing data volumes. This project aims to build a real-time data pipeline leveraging technologies such as Apache Kafka for event streaming, Spark for distributed data processing, and Databricks for data lakes and machine learning operations. Additionally, Airflow will be used to orchestrate data workflows, while dbt, Snowflake, or BigQuery can be employed for data transformation and warehousing. The optimized pipeline will ensure high data reliability and observability, providing our clients with instant, accurate trading insights essential for making informed financial decisions. By enhancing our data capabilities, we aim to strengthen our market position and address the increasing demand for rapid data processing in DeFi trading.