This project involves the design, development, and implementation of a comprehensive data integration and analytics solution for a university's online application platform. The platform handles thousands of applications from prospective students across various programs and departments. The goal is to centralize all application-related data, streamline the admissions process, and provide actionable insights for decision-making, improving the efficiency of the admissions team and enhancing the applicant experience.

The project aims to create a reliable data integration and ETL (Extract, Transform, Load) pipeline for a retail analytics platform. This platform aggregates and processes data from multiple origins, such as point-of-sale (POS) systems, e-commerce platforms, customer relationship management (CRM) systems, and external data providers like weather data and social media feeds. The primary objective is to establish a cohesive data warehouse that supports both real-time and batch analytics, allowing the business to derive valuable insights into customer behavior, sales trends, inventory management, and marketing effectiveness.

Organizing, collecting, processing, and storing data .Designed data pipelines to extract, transform, and load data from various sources.