Real-time Data Pipeline for Carbon Credit Market Optimization

In the rapidly evolving Carbon Credits & Trading industry, our enterprise seeks to establish a cutting-edge data engineering platform to optimize market operations. We aim to create an integrated system leveraging real-time analytics, data mesh architecture, and cloud-based solutions. The project involves building a data pipeline capable of ingesting and processing large volumes of market data using Apache Kafka for event streaming and Spark for real-time analytics. With tools like Airflow for workflow orchestration, dbt for data transformation, and Snowflake and BigQuery for scalable storage and querying, the platform will ensure high data observability and reliability. The enhanced model will provide predictive insights and data-driven strategies for market decisions, aligning with our sustainability objectives. By employing MLOps, we streamline the deployment and monitoring of machine learning models, ensuring continuous improvement and adaptability to market changes.