Daniel Martins Email & Phone Number

Olhão, Pt

𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄:• Developed an innovative solution for WYD Lisbon 2023: Enabled restaurants to redeem meals by reading pilgrims QR Codes, streamlining the process for thousands of participants.• Full-cycle development of DeGrazie: Created a solution that allows restaurants to provide QR Codes on tables, enabling customers to easily read, order, and pay for their meals.𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀:• Backoffice Development: Utilized React to implement a backoffice for merchants to manage QR Codes and define menu products.• Frontoffice Development: Developed a React-based frontoffice for customers to read QR Codes and seamlessly order and pay for their meals.• Database Management: Employed SQL for efficient data storage and retrieval.• Message Queuing: Implemented RabbitMQ for background operations, ensuring smooth and reliable task execution.• Task Scheduling: Used Hangfire to schedule background operations with a robust retry system.• Real-time Updates: Leveraged SignalR to read messages from RabbitMQ and automatically update the web app without user refresh.𝗪𝗼𝗿𝗸 𝗠𝗲𝘁𝗵𝗼𝗱𝗼𝗹𝗼𝗴𝘆: Agile𝗩𝗲𝗿𝘀𝗶𝗼𝗻 𝗖𝗼𝗻𝘁𝗿𝗼𝗹: GIT

Faro Area, Portugal

𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄:Full-cycle development of Omnibees to enhance hospitality services, ensuring seamless operations and improved customer experiences.𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀:• Developed an API Template (.Net Core): Created a comprehensive API template in .Net Core, featuring authentication, authorization, tracing, health checks, logging, metrics, EF Core for database access and many usefull abstractions.• Migrated Silverlight to Angular: Transitioned legacy systems to modern frameworks, enhancing performance and user experience.• Developed Web APIs in C# (.Net Framework): Created robust APIs to support data integration and communication.• Implement and manage message queuing systems using MSMQ to handle asynchronous processing tasks.• Implemented distributed caching: Utilized Couchbase and Redis to optimize data retrieval and performance.• Database Management: Employed SQL for efficient data storage and retrieval, ensuring API efficiency.• Develop and maintain ETL packages using SSIS (SQL Server Integration Services) to extract, transform, and load data from various sources to make API reads more performant.• Unit Testing: Implemented unit tests using Moq to ensure business logic integrity during refactors.• Integration Testing: Ensured API endpoints functioned correctly through comprehensive integration tests.• End-to-End Testing: Applied Cypress tests to validate the entire system’s functionality.𝗪𝗼𝗿𝗸 𝗠𝗲𝘁𝗵𝗼𝗱𝗼𝗹𝗼𝗴𝘆: Scrum and Kanban𝗩𝗲𝗿𝘀𝗶𝗼𝗻 𝗖𝗼𝗻𝘁𝗿𝗼𝗹: TFSVC and GIT (gitflow and trunkbase depending on the project size)

Faro Area, Portugal

𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄:Developed cutting-edge software solutions tailored for the hospitality industry, enhancing operational efficiency and customer experience.𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀:• Develop interactive and rich user interfaces using Silverlight to streamline hospitality operations. This involves creating controls, layouts, and handling user interactions.• Implemented back-end logic for ASP.NET MVC applications, including creating and managing controllers, views, and models.• Developed Web APIs in C# (.Net Framework): Created robust and scalable Web APIs to support seamless data integration and communication.• Utilized SQL for efficient data storage and retrieval, ensuring the API’s optimal performance.• Implemented unit tests and integration tests for API.𝗪𝗼𝗿𝗸 𝗠𝗲𝘁𝗵𝗼𝗱𝗼𝗹𝗼𝗴𝘆: Scrum𝗩𝗲𝗿𝘀𝗶𝗼𝗻 𝗖𝗼𝗻𝘁𝗿𝗼𝗹: TFSVC

Faro Area, Portugal

R&D Engineer at SRM - Smart Revenue Management (QREN I&DT n.º 38962)𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄:Led the development of innovative web crawlers to enhance data retrieval from e-commerce websites, significantly improving data warehouse capabilities.𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀:• Spearheaded the design and implementation of Web Crawlers using Selenium WebDriver, ensuring efficient and accurate data extraction.• Used C# (.Net Framework) to develop robust and scalable solutions tailored to project requirements.• Managed and optimized data storage with MongoDB, enhancing data accessibility and performance.• Applied algorithms to normalize data extracted from different sources.

Master'S Degree, Electrical And Electronics Engineering, 17 (0-20)

Dissertation: Data extraction in e-commerce (https://sapientia.ualg.pt/handle/10400.1/9877)

Electrical And Electronics Engineering, 15 (0-20)

Specialization: TIT - Tecnologias de Informação de Telecomunicações