Data Engineer specializing in the construction and maintenance of data processing architectures utilizing cloud services. Proficient in developing data ingestion and processing algorithms with Python and PySpark, and skilled in the design and modeling of Data Lakes and Data Warehouses to facilitate data storage and analysis.

An architect specializing in the .NET platform with extensive expertise in RabbitMQ, Kafka, REST API design, and microservices. Proficiency encompasses .NET, .NET Core, ASP.NET, ASP.NET Core, WebForms, MVC, WCF (Windows Communication Foundation), WF (Windows Workflow Foundation), Web API, Entity Framework, EF Core, NHibernate, Windows Forms, and various IoC (Inversion of Control) containers including Ninject, Autofac, and Unity. Additionally skilled in Mass Transit, Docker, Kubernetes, design patterns, Scrum methodology, Azure DevOps, Domain-Driven Design, and user stories. Possesses a strong command of asynchronous programming in C#. Programming languages include Java, Delphi, C++, C#, HTML5, JavaScript, and Angular.

Web Developer with extensive experience since 2016, primarily specializing as a Full-Stack Software Engineer. Proficient in developing applications using various technologies, including Java 8, C#, ASP.NET MVC, .NET Core, AngularJS, Angular (version 7+), Aurelia, KnockoutJS, and React.

Full Stack Developer with six years of experience specializing in web application development and technology consulting. Additionally engaged in studies related to Business Management and Marketing, exhibiting a profound passion for technology and innovation.

An experienced professional with 16 years in IT Projects and Operations, specializing in areas such as Software Development, Infrastructure, IT Governance, Process Management, Operational Support, Service Desk, Cloud Solutions, and People Management. Possesses a solid understanding of various business disciplines, technical challenges, and corporate needs. Recognized for exceptional communicative abilities, a participatory approach, and a strong capacity for abstract thinking and scenario analysis, coupled with an investigative mindset. Demonstrates a business ownership attitude, combining hands-on problem-solving skills with effective team leadership capabilities.

A business and requirements analyst possessing advanced expertise in SQL language and database management. Demonstrates a robust capacity to conduct training sessions, underpinned by effective teaching skills. Holds a comprehensive understanding of the Protheus system and its various modules.

Experienced Software Engineer with a robust background in the computer software industry. Possesses 6 years of experience specializing in C#, Microsoft SQL, LINQ, unit testing, and database management. Additional expertise includes Dart, WPF, Delphi, Kotlin, .NET Core, ASP.NET MVC, ASP.NET Web API, and ASP.NET web forms. Dedicated to writing clean and efficient code, with a passion for simplifying complex problems through effective software solutions.

Holder of a degree in Information Systems from Faculdade Estácio de Sá and currently furthering education in Electronic Engineering at the Federal University of Santa Catarina. Co-founder and Full Stack Developer of a startup. Exhibits strong aptitude for rapid learning and possesses substantial experience in collaborative team environments.

AWS Personalize is a machine learning service by Amazon Web Services that enables developers to create individualized recommendations for users of their applications. It leverages algorithms used by Amazon.com to deliver real-time personalized experiences, such as product recommendations, personalized search results, and targeted marketing messages.

An AWS Personalize expert must have skills in machine learning, data analysis, and Python programming. They should be proficient in using AWS SDKs and APIs, have experience with AWS services like S3 for data storage and IAM for access management, and understand recommendation algorithms and model evaluation techniques.

How to hire a AWS Personalize expert

AWS Personalize was launched by Amazon Web Services in 2019. It was created to leverage Amazon's extensive experience and technology in delivering personalized recommendations, aiming to provide developers with the tools to integrate similar capabilities into their own applications without needing deep machine learning expertise.

About AWS Personalize

Strengths of AWS Personalize include its ease of integration, real-time personalization capabilities, and leveraging Amazon's advanced machine learning algorithms. Weaknesses may involve potential high costs for extensive usage and the need for quality input data to achieve optimal results. Competitors include Google Cloud Recommendations AI, Microsoft Azure Personalizer, and IBM Watson Personalization.

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