Jonathan Batista Email & Phone Number

Hired to Ferrum ML team aiming to make the vendor integration faster and easier. Main tech stack: Golang, ReactJS and Python - Designing and creating ModelOPS routines- Improve, fix and maintain vendors portal- CLI tools for vendor product validation- High usage for Google Cloud services (storage, computing, PubSub)

Hired for a team dedicated to build from scratch a hub payments for Brazilian financial market. The aim was to offer a B2B platform for more competitive payment fees.• Distributed systems with Kubernetes.• Queues and Jobs using RabbitMQ, Celery and Kubernetes Jobs• RESTFUL API’s construction and implementation with python FastApi.• Microservices applications in private cloud with Kubernetes• Gitlab CI/CD.• Application with a high test coverage.• Hexagonal Architecture and Clean Architecture for python applications.Technologies: Python, FastApi, RabbitMQ, Docker, Docker-compose, Pytest, SQLAlchemy, Scrum, Microservice architecture, Distributed systems architecture, Kubernetes, Gitlab CI/CD, Hexagonal Architecture, Clean Architecture.

Brasil

I joined this company designing a new website as a contractor. Working together I saw possibilities for improvements and ways I could contribute. Years later I was invited to become a business partner at the company for my contributions to the business. Here I was responsible for:- Maintaining and improving all web related services (from websites to social media going through the customer payments and mailing lists)- Planning and executing international events- Managing customers- Finances

I was part of Denox/Maxtrack dev team making new features and improvements to a complex logistics monitoring system. My role demanded both front and backend skills as well as data analysis (using Pandas | Python) and data consolidation routines using Celery. In addiction to tech skills there were a specific business logic and constraints I had to cope with in order to deliver the product. The product was complex and demanded optimization because of the volume of information processed and features included.