Front-End Developer with extensive experience since 2014, proficient in working across various scales of businesses. Specializes in HTML, CSS (including Sass and Less), and JavaScript frameworks such as JQuery, Vue.js, and React.

Full-Stack Developer with a strong focus on practical application of skills. Played a key role in a substantial project for the Secretaria de Desenvolvimento Econômico de Fortaleza, where independent management of major segments was a notable contribution. Currently involved in personal projects utilizing technologies like Node.js and React, while actively learning NoSQL. Seeks employment opportunities that provide continuous challenges in a balanced and enjoyable work environment.

A Technology Manager with nearly ten years of expertise in leading and delivering intricate technical projects within the Telecom, Education, and Marketplace sectors. Specializes in blending technology and business strategy to drive innovation and cultivate high-performance teams, supported by a strong background in software programming which informs a deep understanding of architecture and implementation.

Experienced in spearheading eCommerce projects, particularly in implementing marketplace solutions for financial institutions using Vtex and PIM solutions for the healthcare industry with Stibo. Managed Telecom projects addressing IVR solutions, Telephone Number Portability, and Intelligent Network Services. Also led an Educational project that involved the development of a comprehensive Electronic Agenda platform for schools and universities, which was accessible via mobile applications.

Skilled in fostering creative and productive environments through influence-based leadership, effectively guiding multifunctional teams using both agile and waterfall methodologies. Proficient in overseeing global teams across Argentina, Chile, Colombia, and Mexico.

Co-founded and served as CTO of a technology enterprise from 2016 to 2019, during which time developed the SmartNote Digital Agenda platform. This mobile application, designed to enhance communication between schools, parents, and students, was built using Spring Boot, Angular, jHipster Ionic, and MySQL.

Educational credentials include a Bachelor’s degree in Computer Science from PUC-RJ (2010), a Postgraduate degree in Information Systems with an Emphasis on Internet from UFRJ (2012), and a Project Management extension course at Project Lab (2014). Currently pursuing an MBA in Artificial Intelligence for Business (2024).

Holds certifications as a Technology Architect, Scrum Foundation Certified, Vtex IO certified, Vtex Implementation certified, and Vtex Sales certified.

A dedicated professional with certifications in CTFL Foundation Level and CTFL Mobile Application Tester, demonstrating a profound commitment to the field of testing. Fluent in English and enthusiastic about language communication, this individual is committed to continuous learning and the enhancement of technological proficiency to expand professional expertise.

A seasoned Mobile Tech Lead with over five years of experience and a degree in Electrical Engineering. Initial career includes pivotal roles as a React Native developer, contributing to multiple mobile applications within various financial and e-commerce contexts. Subsequent experience encompasses spearheading the development of mobile applications, harnessing React Native and orchestrating backend operations utilizing AWS tools.

Current focus has been in the e-commerce sector, advancing from junior developer to mobile tech lead. Responsibilities have included the development of major mobile applications using React Native (TypeScript) and Flutter, in addition to involvement in multiple Node.js projects.

Committed to continuous professional growth, the exploration and study of Golang to deepen software development knowledge is underway. Career aspirations are aimed at attaining expertise as a mobile specialist, with extensive experience in Objective-C and Java within native development environments. 

Programming is pursued with dedication, driven by the satisfaction derived from creating solutions that are both useful and impactful.

Fullstack developer specializing in Angular development with over six years of professional and extensive personal project experience. Expertise lies in creating diverse solutions and integrations predominantly using JavaScript and TypeScript. Exhibits a strong interest in software architecture, with an ongoing commitment to advancing skills in this area. Possesses significant proficiency in the Google Cloud Platform. Contributed notably to the Maria da Penha Virtual project, actively utilized by the Rio de Janeiro and Paraíba courts to address domestic violence.

A Mobile Developer specializing in Android platforms with additional proficiency in Swift and substantial experience in creating Hybrid applications using Flutter.

Back-end developer with extensive experience in web application development using PHP, possessing advanced skills in Laravel and a strong capability in front-end enhancement. Specializes in the construction of APIs and adept at database management. Future aspirations include expanding expertise into Machine Learning and Python. Proficient in implementing Agile methodologies, particularly SCRUM, with a proven track record of enhancing productivity and work quality through Agile practices.

Programming With Big Data in R (pbdR) is a collection of R packages designed for distributed computing and large-scale data analysis. It enables efficient handling, processing, and analysis of big data by leveraging parallel computing and high-performance computing resources.

A Programming With Big Data in R expert must have strong proficiency in R programming, experience with parallel and distributed computing frameworks, knowledge of high-performance computing environments, and expertise in handling large datasets. Additionally, familiarity with data manipulation packages like dplyr and data.table is essential.

How to hire a Programming With Big Data In R expert

Programming With Big Data in R (pbdR) was developed to address the need for scalable data analysis within the R programming environment. It emerged in the early 2010s, driven by the increasing demand for handling large datasets efficiently. The initiative focused on leveraging parallel and distributed computing to optimize performance and scalability for big data tasks.

About Programming With Big Data In R

Strengths of Programming With Big Data in R include its ability to handle large datasets efficiently, support for parallel and distributed computing, and seamless integration with the R ecosystem. Weaknesses include a steep learning curve and potential complexity in setup and configuration. Competitors include Apache Spark, Hadoop, and Dask.

Programming With Big Data In R

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