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@esdrasvidalpereira
Experienced back-end engineer specializing in Ruby on Rails.
As a dedicated back-end engineer with extensive experience in Ruby on Rails, I have successfully contributed to various projects across multiple industries. My journey began with a degree in Telematics from the Federal Institute of Education, Science and Technology of Paraíba, where I developed a strong foundation in programming and technology.
Throughout my career, I have worked with renowned companies like VAGAS.COM and PWNHealth, where I honed my skills in building robust web applications and maintaining high-quality code. My expertise extends to deploying applications using continuous integration tools and managing containerized environments with Kubernetes. I am passionate about leveraging my technical skills to deliver innovative solutions and drive project success.
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Work history, roles, and key accomplishments
VAGAS.COM
May 2023 - Oct 2023 (5 months)
Supported various Ruby applications using frameworks like Rails, Sinatra, and Padrino. Maintained code quality and kept projects updated with newer versions. Worked with relational databases and deployed applications using CI tools.
JAYATECH | PWNHEALTH | EVERLYHEALTH
Mar 2019 - May 2023 (4 years 2 months)
Built web applications using Ruby on Rails for PWNHealth and implemented software for genetic counseling. Managed containerized environments and deployed applications using CI tools.
LENOVO | DISTRIBUTED SYSTEMS LAB
May 2018 - Jan 2019 (8 months)
Implemented inventory collection on ManageIQ’s Lenovo provider and developed features using React and Bootstrap. Worked on REST API endpoints and enabled physical server provisioning.
DISTRIBUTED SYSTEMS LAB
Sep 2015 - Dec 2017 (2 years 3 months)
Centralized database deployment using PostgreSQL and implemented REST APIs with NodeJS and Nginx. Developed a monitoring service and automated workflows for evapotranspiration estimation.
Degrees, certifications, and relevant coursework
Degree in Telematics, Telematics
2012 - 2015
Graduation Completion Work: Hybrid Spectral Sensing in Cognitive Radio Systems.
Software and tools used professionally
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