Real-Time Financial Data Pipeline for Enhanced Auditing Efficiency

In the rapidly evolving Accounting & Auditing industry, mid-sized firms are often challenged by the need to integrate vast amounts of financial data from disparate sources. Our project aims to build a robust, scalable data pipeline utilizing technologies like Apache Kafka, Spark, and Airflow. This pipeline will enable real-time data processing, thereby providing auditors with up-to-the-minute insights into financial activities. By leveraging Snowflake and BigQuery, we will ensure efficient storage and retrieval of processed data, while Databricks will facilitate advanced analytics. The implementation of dbt for data transformation and MLOps for model deployment will further enhance data quality and operational efficiency. This solution not only provides immediate access to crucial financial data but also supports compliance with regulatory requirements and enhances decision-making processes through predictive analytics.