Real-Time Data Pipeline for Carbon Credit Trading Analytics

As a growing player in the Carbon Credits & Trading industry, we face the challenge of integrating disparate data sources to provide real-time analytics on carbon trading activities. To address this, we aim to build a state-of-the-art data pipeline using technologies such as Apache Kafka and Spark. The project involves creating a seamless flow of data from various external and internal sources into our analytics platform. Key outcomes include enhanced data observability, improved decision-making capabilities, and the ability to handle increasing data volumes efficiently. We require expertise in data pipeline architecture, real-time event streaming, and experience with tools like Airflow, dbt, and Snowflake. The project spans 8-12 weeks and demands a solution that not only meets current demands but is adaptable to future growth. This initiative is crucial for maintaining a competitive edge in a rapidly evolving market, where timely insights can significantly impact trading strategies and compliance.