Luis – Python, React, AWS

It's full-stack solutions for enterprise clients, including a broadcast television network and a healthcare company.

• Built and maintained reusable React components and UI flows for client-facing dashboards.
• Designed and integrated RESTful API services using Python and Node.js.
• Improved data flow between front-end and back-end services for high-volume enterprise apps.
• Implemented GitHub Actions and Docker-based CI/CD pipelines to accelerate deployment.
• Collaborated with product, QA, and infra teams to shape architecture and ensure performance at scale.
• Optimized key user journeys, contributing to reduced load times and improved stability.

It's an internal live tutoring platform that handles real-time scheduling, performance tracking, and reporting for thousands of students worldwide.

• Developed responsive React components for live dashboards and instructor management tools.
• Designed and implemented Python (FastAPI) back-end services for scheduling, data retrieval, and real-time updates.
• Built ETL pipelines to collect and process session engagement data, storing results in PostgreSQL and AWS.
• Integrated role-based access control and established clean API contracts between front-end and back-end.
• Automated deployment and testing pipelines with Docker and GitHub Actions for faster iteration.
• Collaborated with product and data teams to ensure platform scalability and low-latency performance during live sessions.

The projects involved full-stack development and automation initiatives for global clients, including a multinational e-commerce company and a leading magazine and platform focused on business management and leadership insights.

• Designed and implemented scalable REST and GraphQL APIs to support high-traffic production systems.
• Developed modular, reusable React components and dynamic user interfaces for complex dashboards and real-time data updates.
• Integrated front-end components with back-end services to ensure seamless data exchange and robust error handling.
• Implemented comprehensive logging, metrics, and error tracking to monitor and improve system reliability in production.
• Led architectural design for new modules, including database schema planning and performance optimization.
• Mentored junior engineers and conducted thorough code reviews to uphold engineering best practices and code quality.
• Optimized database queries and indexing strategies to enhance application responsiveness and scalability.
• Enhanced CI/CD pipelines to streamline builds, testing, and deployments, ensuring minimal downtime and faster delivery cycles.

It's a large-scale data platform used to process and validate critical business information for enterprise clients.

• Designed and implemented Python-based ETL pipelines for ingesting and transforming large datasets.
• Built RESTful API endpoints with Flask to expose processed data to internal dashboards and external services.
• Developed SQL queries, views, and stored procedures to support analytics and reporting at scale.
• Integrated data pipelines with AWS services for storage, monitoring, and job orchestration.
• Automated deployments with Jenkins and Docker, reducing manual intervention and downtime.
• Supported internal React dashboards to visualize key operational metrics and system status.
• Improved performance and reliability of critical data processing flows through indexing and query optimization.