Matto Galli

- Designed and implemented Python-based enterprise analytics/data pipelines with Pandas, NumPy, PySpark, and Airflow; improved data quality and reduced processing errors by 40%. - Developed REST & GraphQL APIs using Django, Flask, and FastAPI to expose ML-driven insights; ensured secure, low-latency access for thousands of users. - Built ML pipelines with scikit-learn, TensorFlow, and PyTorch for anomaly detection, fraud detection, patient risk scoring, and customer behavior prediction. - Engineered real-time streaming pipelines with Kafka, RabbitMQ, and GCP Pub/Sub, reducing workflow latency by 50%; automated ETL/ML jobs with Celery and Airflow for millions of records daily. - Integrated ML models into React, Angular, and Vue.js dashboards via FastAPI/Flask APIs for real-time predictive analytics and KPI visualization. - Developed microservices with Ruby on Rails and Node.js (Express.js, NestJS, GraphQL, WebSockets) for workflow automation, reporting, authentication, and real-time notifications. - Delivered front-end applications using React, Angular, Vue.js, Material-UI, Tailwind, Bootstrap, HTML5, and CSS3; ensured WCAG accessibility, responsive design, and cross-browser compatibility. - Implemented CI/CD & DevOps pipelines with Docker, Kubernetes, Helm, Jenkins, GitHub Actions, and Terraform; deployed to AWS (EC2, S3, RDS, Lambda, CloudWatch) and GCP (BigQuery, Pub/Sub, Cloud Storage); integrated monitoring with Datadog, Prometheus, and ELK. - Collaborated in Agile/Scrum teams (6–8 devs, 2 QA, 1 PM); contributed to standups, backlog grooming, sprint planning, and releases. - Mentored 3 junior developers in Python frameworks, ML pipelines, ETL workflows, API design, and cloud deployments. - Created automated reporting modules with Pandas, Plotly, Dash, and Matplotlib, reducing manual reporting by 60%.

- Joined Tannico in its startup phase, architecting and implementing the Shopify Plus e-commerce platform from scratch, creating a scalable foundation for B2C and B2B clients across international markets. - Developed React front-end components (catalogs, filtering, landing pages, banners, responsive UIs) with HTML5/CSS3, optimizing accessibility, SEO, and performance; achieved ~25% faster load times. - Built Ruby backend services and middleware integrating Shopify with inventory, order workflows, logistics APIs, payment gateways, and AI-powered demand forecasting. - Implemented Python scripts and ML models to analyze sales and behavior trends, enabling predictive demand forecasting and fulfillment optimization through real-time dashboards. - Designed analytics dashboards for stock, shipping, and KPIs, improving forecast accuracy and efficiency across 12,000+ SKUs and multiple warehouses. - Automated synchronization between Shopify, warehouses, and logistics APIs, ensuring near real-time stock updates, reducing manual errors, and streamlining fulfillment. - Collaborated in Agile teams (6 devs, 2 QA, 1 PM), contributing to sprints, retrospectives, and CI/CD pipelines with Jenkins and Git. - Partnered with product, marketing, and logistics teams to quickly translate requirements into scalable solutions; validated features with demos and user testing. - Led code reviews and mentored 2 junior developers, enforcing best practices in React, Shopify Liquid, Ruby, Python, and API integration, strengthening team expertise and productivity. - Maintained end-to-end ownership from architecture to deployment and monitoring, supporting Tannico’s growth into a leading European online wine retailer under high-traffic demand.