Scalable Data Pipeline and Analytics Dashboard for ECommerce Marketing Platform

The client faces difficulties in efficiently processing and analyzing large volumes of customer engagement and transactional data from their eCommerce stores. Existing integrations are limited by API rate restrictions and lack real-time data processing capabilities, hindering actionable insights and marketing optimization. Additionally, there is a need for an intuitive admin dashboard to enable merchants to interpret complex data easily.

A rapidly growing eCommerce platform seeking to enhance its integrations with third-party marketing tools by building a high-performance, scalable data processing and analytics system.

• Rebuild and scale the data integration infrastructure to handle high volumes of marketing events and customer interactions in real time.
• Implement custom APIs and webhooks to enable seamless, high-frequency data synchronization between eCommerce stores and marketing analytics tools.
• Develop a resilient, AWS-powered data pipeline utilizing scalable queuing systems for efficient event processing, storage, and retrieval.
• Create an intuitive, React-based internal analytics dashboard for merchants to visualize, filter, and act on vital engagement metrics.
• Ensure system performance and reliability under high traffic loads without data loss or slowdowns.
• Reduce data processing delays to ensure near real-time marketing insights for decision-making.

• Custom Webhooks and APIs for real-time data synchronization from multiple eCommerce store platforms
• Scalable AWS-based data pipeline utilizing services like AWS SQS, ECS, and MySQL for high-volume event processing
• Implementation of a queuing system to batch and prioritize API requests, ensuring compliance with rate limits and system stability
• Development of a React-powered internal admin dashboard with features for data visualization, filtering, and campaign optimization
• Robust backend infrastructure supporting high traffic volumes with minimal latency and data loss

• eCommerce store APIs for customer, transaction, and inventory data
• Marketing analytics platforms for data analysis and reporting
• Webhooks for event-driven data updates
• Authentication systems to secure data access

• System must handle at least 1 million marketing events daily
• Achieve near real-time data processing with latency below 5 minutes
• Ensure 99.9% system uptime and fault tolerance
• Secure data in transit and at rest, complying with standard security protocols
• Maintainability with continuous integration and deployment pipelines

The project aims to enable the client to process and analyze large-scale customer engagement data with high reliability and minimal latency, leading to improved marketing campaign optimization and customer retention. Expected outcomes include a significant reduction in data processing delays, increased scalability to support business growth, and enhanced insights through an intuitive analytics dashboard, ultimately supporting data-driven decision-making and increased revenue opportunities.