Ghazi BENAHMED

Responsible for designing and developing scalable applications and data pipelines, while ensuring robust AWS infrastructure and seamless operations, with a focus on TGV-related needs.

• Application Development: Collaborated with the team to develop applications that transformed and exposed data via APIs using Domain-Driven Design (DDD) and hexagonal architecture in Scala. This included addressing specific needs for TGV ticketing and correspondence issues, improving user experience for millions of travelers.
• Data Pipeline Engineering: Engineered data pipelines using Amazon MSK and AWS Lambda, ensuring efficient real-time data processing. Streamlined infrastructure deployment with Terraform, resulting in a 30% reduction in deployment time.
• Technical Support: Provided active production technical support, focusing on TGV-related systems to ensure smooth operations and rapid issue resolution, significantly improving system uptime and user satisfaction.

Led the development of data pipelines and infrastructure automation for real-time processing of vehicle fleet data, ensuring scalability, security, and compliance with GDPR regulations.

• Data Pipeline Development: Designed and implemented data pipelines from scratch to process car fleet data using Spark Streaming on AWS EMR and AWS Lambda, enabling real-time metrics extraction and enhancing operational efficiency by 25%.
• Infrastructure Automation: Utilized Terraform to automate the deployment of scalable infrastructure, reducing manual errors and infrastructure costs by 20%.
• GDPR Compliance: Created a robust data encryption system to ensure GDPR compliance, leveraging advanced encryption techniques to secure sensitive data and protect user privacy.
• Collaborative Development: Worked closely with the head of data and the product owner to refine project requirements, ensuring timely delivery of high-quality, data-driven solutions.

• Designed and optimized Spark jobs on AWS EMR to process over 12 TB of real estate data daily, achieving a 35% reduction in processing time by implementing advanced partitioning and caching strategies.
• Developed RESTful APIs using Spring, improving response times by 20% and handling 15,000+ concurrent user requests, ensuring seamless property searches and data delivery.
• Built a robust Data Lake infrastructure using AWS CloudFormation and AWS Lambda, storing and managing over 100 TB of structured and unstructured real estate data, supporting analytics and reporting pipelines.
• Applied Test-Driven Development (TDD) principles, reviewed 120+ pull requests monthly, and implemented CI pipelines that decreased deployment errors by 50%, enhancing release reliability.