Amanda B.
Full-stack Product Engineer

Skills

Docker Cloud

Amazon Aws

Nestjs

Typescript

Node.js

Github

Mongodb

Mysql

Express.js

React

Vba

Matlab

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Bio

Mid-Level Software Developer with expertise in creating high-performance and scalable systems for prominent clients. Certified as an AWS Cloud Practitioner, the developer demonstrates a commitment to excellence in software delivery. Specializations include Hexagonal Architecture, Node.js, and AWS technologies such as DynamoDB. Additional proficiencies encompass Test-Driven Development (TDD), PostgreSQL, and Typescript, while also holding extensive knowledge in Clean Architecture and familiarity with messaging systems like SQS and Kafka. The focus remains on applying best practices to deliver functional and effective software solutions.

Mid-Level Software Developer
2/1/2022 - Present

During the Bankly/Banco Votorantim Project, significant expertise was developed in the creation of serverless applications using the NestJs framework and Docker containers, streamlining deployment and management processes. Successfully integrated APIs with Pismo, a leader in payment solutions and financial services, and employed Kafka for asynchronous communication and real-time events. Ensured the secure storage of configurations in DynamoDB tables and maintained interactions with a MySQL database. Practiced Test-Driven Development (TDD) with Jest for unit test development and maintained rigorous code management and versioning using Git and Azure DevOps. Gained substantial experience with agile methodologies.

In the Pefisa/Pernambucanas Project, serverless application development was undertaken for the One Financial Pay Platform, which included managed account services, credit cards, and payments. Utilized Amazon API Gateway for API management and applied the hexagonal model (ports and adapters) with architectural tests to ensure compliance. Leveraged SQS for queues and asynchronous communication between services and utilized the PismoClient library for calls to Pismo APIs. Maintained code with Git and CodeCommit, securely stored configurations in DynamoDB tables, and implemented containers with the Tsyringe library for dependency injection. Employed EventPublisher for event publication on EventBridge, focusing on validation, standardization, and information dissemination. Practiced TDD with Jest for unit tests and demonstrated proficiency in agile methodologies.

In the Gerando Falcões Project, developed a serverless architecture adhering to the MVC standard for an application aimed at research agents of Gerando Falcões, an organization dedicated to improving life in various areas of the favelas. Utilized Node.js and TypeScript for platform creation, enabling agents to monitor and enhance the quality of life for favela residents. Implemented NoSQL databases with DynamoDB and consistently practiced TDD using Jest for unit tests. Ensured code management and versioning with Git and GitHub and maintained adherence to agile methodologies throughout the project.
Junior Software Developer
11/1/2021 - 1/1/2022

Developed and implemented four screens mirroring the Netflix streaming platform, utilizing a tech stack that included Node.js for the back-end and React for the front-end. Utilized VS Code for code editing and Git for version control, while managing code repositories on GitHub. MongoDB was employed as the primary database solution, ensuring efficient data storage and retrieval. Leveraged AWS for deployment and cloud services. Demonstrated strong proficiency in full-stack development and cloud integration during the project.
Industrial Process Analyst
11/1/2019 - 1/1/2022

Excelled in the calculation and analysis of performance indicators, contributing to informed decision-making processes. Acted as an improvement teams facilitator, ensuring effective collaboration and progressive outcomes. Demonstrated proficiency with methodologies such as 8D, Statistical Process Control (SPC), Pareto chart, 5W2H, PDCA, and cause and effect diagrams. Utilized technical tools and technologies including VBA, Excel, and Minitab to support data-driven strategies and enhance operational efficiency.
Research Student
1/1/2015 - 12/1/2017

Developed dynamic Neural Network models to represent water consumption patterns in low-income households in Salvador, enhancing predictive analytics in resource management. Conducted comparative studies between the developed network models and multivariate analysis using RStudio, providing empirical insights into model performance. Acquired technical expertise in various tools and technologies, including MATLAB, MINITAB, and R Studio, to facilitate extensive data analysis and modeling tasks.