Software Developer specializing in JavaScript, React, and TypeScript. Demonstrates high proficiency in React Native, Angular, HTML, CSS, and PHP 7.4 or higher for back-end development, particularly within the Laravel framework. Possesses extensive experience with WebServices Restful, GraphQL, NodeJS, and NextJS. Adept in version control using GitLab and GIT, and proficient in project management tools including JIRA and Docker, with collaborative capabilities in Trello and Azure environments. Skilled in managing MySQL databases and utilizing Grafana for data visualization and Insomnia for API testing. Practices Test-Driven Development (TDD) and Behavior-Driven Development (BDD) methodologies, with a strong grasp of test strategies and tools and a comprehensive understanding of software architecture principles.

Back-end developer with over two decades of experience in web development and infrastructure, specializing in high-traffic applications. Expertise encompasses functional programming, Laravel, Object-Oriented Programming (OOP), DevOps, PHP, C#, and JavaScript. Committed to application scalability, robust infrastructure, and adherence to best development practices.

A full-stack developer specializing in web development, with extensive expertise in Object-Oriented Programming (OOP), PHP, and JavaScript. Demonstrates a keen interest in application scalability, best development practices, and Test-Driven Development (TDD).

Full-Stack Developer specializing in back-end development, with a keen dedication to mastering emerging technologies and tackling intricate challenges. Actively seeking new remote work opportunities.

Technology professional with over 15 years of experience, initially specializing in infrastructure, possessing extensive knowledge in networks, servers, technology management, and support team leadership. In recent years, a focus has shifted towards data culture, intensifying expertise in engineering, data analysis, and cloud services. This includes experience in system integrations, ETL routines, development of data pipelines, and the management of both Data Warehouse and Data Lake systems, coupled with a strong business acumen.

A Computer Science graduate from the Catholic University of Brasília, possessing three years of experience in .NET back-end application development, alongside expertise in front-end development utilizing Angular and VueJs frameworks.

iOS Developer with a solid foundation in Swift, cultivated through dedicated self-study and academic endeavors during the pandemic. Possesses enhanced knowledge in TypeScript, React best practices, and Node.js, demonstrating proficiency with the JavaScript superset. Renowned for a fervent dedication to development, persistent bug resolution skills, and a commitment to innovation and iterative learning. Emphasizes user experience in all projects.

A technology professional specializing as a Computer Technician and presently pursuing Systems Analysis and Development exhibits robust capabilities in database modeling, programming, and software development. Expertise spans across Node.js, React.js, SASS, RESTful APIs, UML, TypeScript, Docker, Clean Code principles, SOLID principles, SQL technologies including Prisma and TypeORM, and Scrum methodologies. Engages as a speaker on technology-related topics and travels extensively across Brazil to provide technical guidance to the Brazilian Army. Dedicated to embracing challenges and leveraging opportunities to refine and expand technical proficiencies.

Perl Data Language (PDL) is an extension to Perl that provides high-performance, compact storage and manipulation of large numerical datasets. It allows for efficient mathematical and scientific computations by offering array programming capabilities similar to those found in languages like MATLAB and NumPy.

A Perl Data Language expert must have strong proficiency in Perl programming, a deep understanding of numerical and array-based computations, experience with PDL's functions and modules, and familiarity with scientific data analysis. Knowledge of related libraries and tools for data visualization and manipulation is also essential.

How to hire a Perl Data Language expert

Perl Data Language (PDL) was created in 1996 to address the need for efficient numerical and scientific computing within the Perl programming environment. It evolved to provide high-performance operations on large datasets, enabling Perl to handle tasks typically managed by specialized numerical languages.

About Perl Data Language

Strengths of Perl Data Language include its high performance for numerical computations, seamless integration with Perl, and extensive library support. Weaknesses include a steeper learning curve and less community support compared to more popular languages. Competitors include Python with NumPy/SciPy, MATLAB, and R.

Perl Data Language

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About Perl Data Language

How to hire a Perl Data Language expert

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