Web development specialist with expertise in the JavaScript stack, including Node.js, React.js, Vue.js, and related web technologies. Possesses intermediate proficiency in .NET. Actively engages in open-source projects within the React.js and Vue.js communities. Emphasizes the importance of loyalty, transparency, and honesty in fostering positive and productive professional relationships.

Front-end Developer with three years of experience in web development, specializing in the utilization of Vue.js, AngularJs, and Angular2+ frameworks.

Full-Stack Developer proficient in a range of programming languages and frameworks, showcased through a GitHub portfolio.

Fullstack Developer with experience since 2020, currently serving as a Mid-Level Developer. Adept in backend development using PHP and Laravel, complemented by proficiency in MySQL. Demonstrates expertise in frontend development with TypeScript, JQuery, and SASS. Well-versed in Object-Oriented Programming and committed to adhering to best development practices.

Data Analyst with approximately two years of experience in Business Intelligence, specializing in Supply Chain analytics. Contributions include the development of various BI projects for fulfillment centers, transportation, and finance teams, which had a significant impact on business operations. Received recognition from the Supply Chain Director for outstanding contributions. Currently advancing skills towards becoming a Data Scientist, with ongoing studies in data science tools and statistical models.

A System Analyst with over 15 years of experience in the technology sector, specializing in software architecture, application scalability, and system performance enhancement. Prominently recognized as a professional in DEVOPS, the focus involves integrating development and operations practices to streamline and optimize the software lifecycle. Possesses advanced proficiency in PHP, especially version 8.x, along with extensive expertise in a diverse array of technologies and methodologies.

These include MYSQL, Git, HTML5, CSS3, JavaScript, AWS, Docker, Kubernetes, MongoDB, and Shell Scripting frameworks such as Symfony, Silex, Yii, and Slim. Additional knowledge encompasses Memcached, SalesForce, Jira, Google Analytics, New Relic, Scrum, Kanban, Linux, and C. Prioritizes continuous learning and professional growth, valuing collaboration and mutual respect in the workplace.

An innovation project specialist with over seven years of expertise in data science and automation development, characterized by active involvement in a broad spectrum of projects. This experience encompasses audio processing experiments, the management, implementation, and evolution of customer service platforms, alongside diverse endeavors such as modeling, forecasting, classification, chatbot development, and Robotic Process Automation (RPA). Brazilian by nationality, originating from Belo Horizonte and currently residing in Curitiba. Possesses a degree in Control and Automation Engineering and is presently engaged in a master's program in Artificial Intelligence.

Mobile Developer with foundational experience and a strong drive for continuous learning. Possesses a solid understanding of web programming, including proficiency in JavaScript, React, React Native, and Node.js. Demonstrates a keen interest in application scalability and the adoption of best development practices.

Google Cloud Data Studio is a data visualization and business intelligence tool that allows users to create interactive reports and dashboards. It enables the integration of various data sources, providing real-time insights and facilitating data-driven decision-making.

A Google Cloud Data Studio expert must have skills in data visualization, proficiency in SQL for querying databases, experience with Google Sheets and BigQuery, and knowledge of connecting various data sources. Familiarity with data transformation and ETL processes is also essential.

How to hire a Google Cloud Data Studio expert

Google Cloud Data Studio was introduced by Google in 2016. It was developed to provide a user-friendly platform for creating and sharing data visualizations and reports. The tool aimed to simplify the process of turning raw data into actionable insights, enhancing data accessibility and collaboration across organizations.

About Google Cloud Data Studio

Strengths of Google Cloud Data Studio included its user-friendly interface, seamless integration with various data sources, and real-time collaboration features. Weaknesses involved limited advanced analytical capabilities and performance issues with large datasets. Competitors included 

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