-- Overview -- City Logistics is optimizing its logistics operations with a modern data infrastructure. By integrating data from real-time tracking, customer feedback, and market trends, the company aims to improve efficiency, reduce costs, and enhance service delivery.
-- Tech Stack -- Python – Scripting and automation SQL – Data manipulation Azure Data Lake Gen 2 – Scalable data storage GitHub – Source control Windows Task Scheduler – Task automation
-- Challenges -- Data Integration – Unifying fleet management, ERP, and CRM data Scalability – Handling high data volume and velocity Data Quality – Ensuring accuracy and consistency Security & Compliance – Meeting GDPR and CCPA standards Real-Time Processing – Enabling instant insights for route optimization and inventory management