🎯 The Problem
Refonte Learning needed efficient data processing capabilities to handle large-scale educational data from multiple sources. The existing manual processes were time-consuming, error-prone, and couldn't scale with the growing data volume. There was also a need for real-time analytics and machine learning model integration.
💡 The Solution
Developed comprehensive ETL pipelines using Python and Apache Airflow for automated data processing. Implemented database optimization strategies for PostgreSQL to improve query performance. Created cloud-based data warehouses on AWS and built interactive dashboards using Tableau. Integrated machine learning models into real-time analytics systems for predictive insights.
🚀 The Outcome
Successfully improved data processing efficiency by 70% and reduced manual intervention by 90%. The automated pipelines now handle terabytes of educational data daily, providing real-time insights to stakeholders. The system supports data-driven decision making and has enabled the development of personalized learning recommendations for students.