Giovanni Junior

About

- Senior Software Engineer with 8 years of experience across e-commerce, healthcare, fintech and AI sectors. - Expert in React, React Native and Node.js, Python, Java and cloud-native architectures. - Proven record of improving system performance, reducing operational costs, and driving product innovation using event driven systems, microservices, and ML integrations.

Experience

• Senior Software Engineer · Fanatics01-01-2024

  • Engineered the Real-Time Commerce Engine in Java powering post-championship and player-trade merchandise drops. • Designed event-driven microservices (Node.js, Python, Kafka) to sync player data from league API, cutting update latency by 80%. • Built inventory synchronization system using React.js, linking Fanatics’ manufacturing with e-commerce pipelines, improving fulfillment accuracy by 25%. • Developed and integrated several Loyalty APIs connecting Fanatics.com, Topps, and Fanatics Sportsbook, increasing cross-platform engagement by 30%. • Partnered with league tech teams to launch live event APIs, enabled on-site mobile ordering. • Integrated Snowflake Data Lake for global fan profiles, using SageMaker ML model to personalize team-based recommendations, raising user retention by 15%.

• Senior Software Engineer · Parkland03-01-2021 – 11-01-2023

  • Architected a React/Node.js platform powering multi service mobility operations (refueling, EV charging, retail), enabling 24/7 real time fleet access across multiple regions. • Enabled real-time EV charge point access and management across multiple regions. • Built React Native fleet management tools allowing customers to track fuel consumption, reducing logistics costs by 18%. • Built an API-driven authentication and payment system for B2B clients, reducing transaction friction by 40%. • Designed Python-based microservices for AI inference and healthcare automation, improving data processing efficiency by 45% while maintaining HIPAA compliance. • Integrated Stripe and PayPal payment flows for B2B mobility services, reducing checkout failures by 28%. • Contributed to the AWS cloud migration, enhancing system reliability and scalability. • Scoped project requirements using Agile & Scrum principles for a mission-critical multi-page application, prioritizing development activities and reducing ad hoc work requests by 16%.

• Senior Software Engineer · Fanatics01-01-2024

  • Orchestrated the Real-Time Commerce Engine in Java powering post-championship and player-trade merchandise drops. • Introduced event-driven microservices (Node.js, Python, Kafka) to sync player data from league API, cutting update latency by 80%. • Constructed inventory synchronization system using React.js, linking Fanatics’ manufacturing with e-commerce pipelines, improving fulfillment accuracy by 25%. • Implemented entire end-to-end workflow and deployment of the MVP of queflic app which is purposed to be competitive to social networks like Instagram, Tiktok by integrating external services like Spotify, Google Maps, firebase with react native. • Integrated Shopify storefronts with internal inventory and fulfillment systems via APIs. • Developed and integrated several Loyalty APIs connecting Fanatics.com, Topps, and Fanatics Sportsbook, increasing cross-platform engagement by 30%. • Containerized microservices using Docker and Kubernetes, achieving 50% faster deployment time. • Integrated Snowflake Data Lake for global fan profiles, using SageMaker ML model to personalize team-based recommendations, raising user retention by 15%.

• Senior Software Engineer · Parkland03-01-2021 – 11-01-2023

  • Architected a React/Node.js platform powering multi service mobility operations (refueling, EV charging, retail), enabling 24/7 real time fleet access across multiple regions. • Enabled real-time EV charge point access and management across multiple regions. • Crafted React Native fleet management tools allowing customers to track fuel consumption, reducing logistics costs by 18%. • Implemented secure MVC portals for B2B clients to manage fleet accounts, invoices, charge sessions, and refueling analytics • Established an API-driven authentication and payment system for B2B clients, reducing transaction friction by 40%. • Integrated third-party Shopify apps (payments, reviews, analytics) and resolved theme conflicts. • Formulated Python-based microservices for AI inference and healthcare automation, improving data processing efficiency by 45% while maintaining HIPAA compliance. • Integrated Stripe and PayPal payment flows for B2B mobility services, reducing checkout failures by 28%. • Contributed to the AWS cloud migration, enhancing system reliability and scalability. • Scoped project requirements using Agile & Scrum principles for a mission-critical multi-page application, prioritizing development activities and reducing ad hoc work requests by 16%.

• Full Stack Engineer · PrizeCart04-01-2019 – 12-01-2020

  • Produced Next.js pages for merchant widgets and public prize portals, boosting conversion rates by 22%. • Developed and maintained a custom Shopify app for merchants to run promotional prize campaigns, integrating with Shopify Admin API, Storefront API, and Webhooks. • Launched serverless Node.js APIs to manage prize generation, redemption logic, and click-based billing events using AWS Lambda and MongoDB. • Integrated Shopify APIs for automated installation, merchant authentication, and order data sync. • Partnered with design teams to enhance “Reveal Prize” user flow, improving retention by 35%. • Deployed production builds with CI/CD pipelines on AWS and implemented observability using CloudWatch and Sentry. • Optimized PostgreSQL schemas and queries for prize redemption and billing workflows, reducing report load times by 35%.

• Software Engineer · Datametrica10-01-2017 – 03-01-2019

  • Delivered advanced analytics engine with Java/Angular for finance, retail, and clients in Brazil and Latin America, reducing reporting latency by 45%. • Enhanced credit risk assessment systems with predictive models, improving accuracy by 18% for financial clients. • Engineered Python data pipelines and ML models for credit-risk scoring, improving prediction accuracy by 18%. • Designed and implemented a cloud-based customer portal on React/Redux. • Developed AI-powered customer insights dashboards using React + D3.js.

Education

• University of Sao PauloBachelor of Computer Science (BCS), Computer Science

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