Mercio: Enterprise Pricing Optimization Platform
Microservices-based pricing platform serving 50+ retail clients with Java 17, Spring Boot, and multi-cloud architecture.
Project Overview
Led the architecture and development of an enterprise-grade pricing optimization platform at Mercio, serving major French retailers including Intermarché, Mr. Bricolage, Feu Vert, and Monoprix. The platform processes over 10 million retail records daily across multi-cloud infrastructure.
Designed and implemented a comprehensive microservices ecosystem using Java 17 and Spring Boot, encompassing pricing engine, product matching algorithms, strategy management, and real-time data synchronization. The architecture achieved a 60% reduction in client onboarding time and maintains 99.99% uptime.
Engineered high-performance ETL pipelines using Python and Google Cloud Functions, achieving 99.9% data accuracy between BigQuery data warehouse and PostgreSQL operational databases. Implemented advanced analytics algorithms for pricing elasticity computation and automated data quality validation, improving pricing accuracy by 35%.
Key Features
- Microservices architecture with Java 17 and Spring Boot
- Multi-cloud deployment across GCP and Azure
- Real-time ETL pipelines processing 10M+ records daily
- Advanced pricing algorithms with 35% accuracy improvement
- Kubernetes orchestration with Helm charts
- Comprehensive monitoring and cost optimization (25% reduction)
Technologies Used
Project Gallery
Project Details
Client
Mercio
Timeline
8 months (Jun 2024 - Present)
Role
Software Engineer & Technical Lead
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