Control and Automation Engineer specializing in RPA and Low Code Development, with a robust 20-year tenure in Information Technology. Holds a well-rounded expertise in infrastructure, evidenced by 4 years of experience in operations, technology deployment, support, and network monitoring tools including Zabbix and Spectrum. A seasoned software developer for 6 years, skilled in languages such as Visual Basic, Java, PHP, JavaScript, Node.JS, ASP, Perl, and Python. Commands 4 years of experience with relational databases like SQL Server, MySQL, PostgreSQL, and Oracle, as well as familiarity with NoSQL databases including MongoDB and ElasticSearch. Demonstrates 2 years of proficiency in utilizing Docker containers within Linux environments. Possesses 3 years of proficiency in developing RPA robots using platforms such as PowerPlatform, NodeRed, and Automation Anywhere. Experienced in system integration, process mapping, and business rule definition, with proven leadership capabilities in managing Scrum teams.

Back-end Developer with over three years of experience in web development and infrastructure, adept at managing applications with medium traffic. Possesses strong expertise in functional programming, Object-Oriented Programming (OOP), DevOps, Java, and JavaScript. Exhibits a strong focus on application scalability and infrastructure, emphasizing best development practices. Well-versed in Test-Driven Development (TDD) and Behavior-Driven Development (BDD), with a methodical approach towards project execution using the Scrum methodology.

An experienced professional with a robust background in the rapidly evolving information technology sector. Demonstrates a keen ability for identifying and engaging with emerging technologies, consistently seeking opportunities to expand knowledge and explore diverse facets of the field.

Specializes in Front-End Development with a focus on React. Committed to advancing learning processes, improving work efficiencies, and fostering strong interpersonal relationships.

Participation in projects spans IPTV, finance, railway ticketing systems, metro/CPTM blockages, and industrial balancers. Proficiency includes programming languages such as C/C++, Java, Cross Qt embedded, Python, Javascript, and PHP. In-depth understanding encompasses SCRUM methodologies, Jira project management software, Brazilian Payment System (SPB), IBM WebSphere MQ messaging middleware, WSL2 Linux compatibility layer for Windows 10 and above, virtual machines (VMs), and Docker-based virtual environment technologies for containerization. Competencies also cover API Rest for web services integration, Git flow workflow strategies for version control, Kafka for stream-processing software platform needs, and ETL/ELT processes. Expertise includes network diagnostic tools such as Wireshark and Nmap, the TCP/IP networking protocol suite, the Modbus industrial communication protocol, NiFi automated data processing system, Apache Tomcat web server software, and SAP enterprise resource planning software.

Database experience includes Postgresql, Sqlite, MongoDB, MySQL, and Firebird. Utilized testing tools comprise Gtest/Gmock for unit testing within the Google Test framework, Valgrind for memory debugging and profiling, and Cppcheck for static analysis of C/C++ code verification. Proficient in using integrated development environments (IDEs) such as IntelliJ IDEA by JetBrains, Eclipse IDE, Microsoft's Visual Studio, QT Creator for developing applications with the Qt application framework, and Visual Studio Code (VSCode) for lightweight code editing with support for debugging, GitHub integration, syntax highlighting, IntelliSense code completion, snippets, and code refactoring.

An experienced developer with over five years in the creation of digital products and services for both national and international enterprises. Dedicated to professional growth in a Tech Lead role, with a focus on continuous learning, skill enhancement, and fostering growth among colleagues.

Gabriel has been engaged in development since 2020, specializing in both Front-end and Back-end technologies with a particular emphasis on JavaScript and TypeScript. Presently, the focus lies on ReactJs and NodeJs along with their respective ecosystems.

A seasoned programmer with substantial expertise in backend development, specializing in Java, Delphi, and Oracle database systems. Actively engaged in the development and maintenance of the internal system for the state government of Sergipe, focusing on payroll systems, competitive exam and selection process management, personnel management, and a variety of related services.

Atlas Transformation Language (ATL) is a model transformation language used in Model-Driven Engineering (MDE) to define how one model can be transformed into another. It operates on models conforming to the Meta-Object Facility (MOF) standard and is primarily used for tasks such as model-to-model transformation, facilitating interoperability, and maintaining consistency between different models.

An Atlas Transformation Language (ATL) expert must have strong proficiency in model-driven engineering principles, familiarity with the Eclipse Modeling Framework (EMF), and a solid understanding of MOF-based metamodels. They should also possess skills in writing and debugging ATL transformation rules, as well as experience with related tools and frameworks such as Acceleo for code generation and QVT for alternative transformation approaches.

How to hire a Atlas Transformation Language expert

Atlas Transformation Language (ATL) was developed in the early 2000s as part of the ATLAS group at INRIA. It was created to address the need for a robust model transformation tool within Model-Driven Engineering (MDE), enabling developers to transform models conforming to the Meta-Object Facility (MOF) standard.

About Atlas Transformation Language

Strengths of Atlas Transformation Language (ATL) include its strong integration with the Eclipse Modeling Framework (EMF), ease of use for defining complex transformations, and robust support for MOF-based models. Weaknesses involve limited performance for very large models and less extensive community support compared to some alternatives. Competitors include QVT (Query/View/Transformation), ETL (Epsilon Transformation Language), and 

 (Extensible Stylesheet Language Transformations).

Atlas Transformation Language

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About Atlas Transformation Language

How to hire a Atlas Transformation Language expert

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