Worked on improvements of the data/events ingestion platform:

• Storage of Kafka events directly into AWS S3, using Kafka connect as an integration platform
• End point to read GCP Pub/Sub Lite metrics, segregated by tenant

Skills: Unit Testing · Kafka Connect · Kafka · Apache Kafka · Google Cloud Platform (GCP) · Python · Amazon Web Services (AWS) · Git · Github · Software Design Patterns · Clean Code · REST APIs · Flask

Develop one of the Azure services, enabling the commercialization of phone numbers (PSTN), in this process I used TDD, and design patterns to ensure the quality and performance of the code. Also helped provide SDKs to the aforementioned APIs.

Main Tecnologies:

• C# with ASP.NET (service and sdk)
• Python (sdk)
• Javascript/NodeJS (sdk)
• Java (sdk)
• Git
• Azure Dev Ops 

Skills: C# · Microsoft Azure · Linux · Python · Software Development · Java · JavaScript · SQL · NoSQL · Git · Github · MySQL · Software Design Patterns · Clean Code · REST APIs · Node.js

Backend development in different clients:

• Vynyl/Happier Living: Implementing lambda services in python for Happier Living patient portal, such lambdas integrated with different services, such as AWS Cognito and Salesforce
• Visably: Implementing backend services in Python, with Starlette and PostgreSQL

Skills: Azure Functions · Linux · Python · Amazon Web Services (AWS) · Big data · Software Development · SQL · NoSQL · Git · Github · MySQL · AWS Lambda · Amazon Cognito · Docker · Software Design Patterns · Clean Code · Amazon Dynamodb · Serverless Computing · REST APIs · Amazon S3 · Flask · FastAPI

Developed REST web-services using Python + FastAPI, and acted as a Tech Lead, planing the software/system architecture (what aws services to use, best practices, how services communicate, best practices, design patterns, etc); training my peers, and, helping with managerial decisions 

Skills: Linux · Python · Amazon Web Services (AWS) · Big data · Software Development · Software Architecture · SQL · NoSQL · Git · MySQL · AWS Lambda · Docker · Software Design Patterns · Clean Code · Clean Architeture · REST APIs · Amazon S3 · Flask · FastAPI

Developing solutions for computer vision problems, using machine learning, deep learning and OpenCV, for companies in several areas of activity, such as retail, agriculture and automotive.

Skills: Azure Blob Storage · Microsoft Azure · Linux · Python · Amazon Web Services (AWS) · Deep Learning · Big data · Data Analysis · Machine Learning · Data Science · Software Development · Artificial Intelligence (AI) · Software Architecture · SQL · NoSQL · Git · Kong API Gateway · PostgreSQL · Docker · Software Design Patterns · Clean Code · Clean Architeture · Kubernetes · Kong plug-ins · Software Deployment · Serverless Computing · REST APIs · Flask · FastAPI

Developed projects to collect, process and analyze big amounts of data, such as a IoT platform (https:// eugenio.io/) and a log search system that ingests 1TB of CGNAT logs daily and keeps 5 years of data available, such system enables one of the majors Brazilians cell phone carriers to comply with the law. 

Skills: Azure Blob Storage · Microsoft Azure · Linux · Amazon Web Services (AWS) · Big data · Software Development · Software Architecture · Java · JavaScript · SQL · Git · Nifi · Kong API Gateway · PostgreSQL · Docker · Software Design Patterns · Clean Code · Kubernetes · Kong plug-ins · Software Deployment · Hive · REST APIs · Node.js

Development of Firmware and Backend services for IoT devices in Python, for example I help develop a 3/4G signal strength and QoS tester that was used in the Rio Olympic Games (2016)

Skills: Azure Blob Storage · Linux · Python · Software Development · Java · JavaScript · SQL · Git · PostgreSQL · Docker · REST APIs · Node.js