Lucas

Responsible for extracting and ingesting data from numerous sources including APIs and external data sets. Own the creation process of these tools, services, and workflows to improve the ingestion, analysis, reports, and data management. Test the data and ensure accuracy and quality. Own the process to identify and rectify any issues with breaks as well as scale data infrastructure.

• Manage team
• Experience running large-scale web scrapes and data normalization across numerous sources.
• Linux/UNIX, HTTP, HTML, JavaScript, and Networking
• Techniques and tools for crawling, extracting, and processing data (e.g. Scrapy, pandas, MapReduce, SQL,
  Apify, etc).
• System monitoring/administration tools.
• Version control, open-source practices, and code review.
• Applications are designed to display archived web content.
• Execute projects through design, implementation, automation, and maintenance of large-scale ETL processes.
• Develop repeatable and scalable code that processes client data in an automated and efficient manner to ensure data availability in the platform is as real-time as possible.
• Act as an expert data resource within the team.
• Build trust-based working relationships with peers and clients across local and global teams.
• Leverage industry best practices including proper use of source control, code reviews, data validation, and testing.
• Automatic restaurant creation, Automatic post tagging

• Big data tech such as Spark & Hadoop
• Build data pipelines.
• ETL
• Work with the US healthcare system, with terabytes of data
• Scala, Python
• MongoDB, Elasticsearch, and SQL Server
• Delivery cloud-based data solutions using Azure.

• Uniting the product with the technical part for delivery and monitoring of the necessary projects, proving the robustness to have scalability, stability, and security available for customers browsing the platform.
• Ensuring that the methods chosen are the best for the system and infrastructure I, Identifying and removing impediments to achieving the appropriate team size, not identifying the limits of visibility into and out of the resolver.
• He manages the day-to-day of Squad developers, which acts as a reference for matters such as technical debts, vacations, engagement and weather, day-to-day questions, and situational feedback.

• Test-oriented development with Golang, 80% Test coverage
• Microservices
• Reverse engineering for breaking applications
• Reverse engineering for breaking encryptions
• Data mining
• Many crawlers and APIs consumption
• Helping to create open banking in Brazil before it even existed
• A lot of research to find necessary and hidden information

Responsible for the development of the back-end of the largest software from Serasa Experian, with a volume of more than 2 million requests per second and more than 50 million users, microservices fully integrated with Python and Golang. One of the largest companies in Brazil

Tools and technologies used:

• Languages: Golang, Python
• FastAPI
• Docker
• Elasticsearch
• Redis
• PostgreSQL
• Basically, all amazon services (S3, SQS, etc)
• Cryptography
• Safety first
• Code version control: GIT (GitFlow and conventional commitments)

• API’s with Symfony
• Front-end with React
• Scrum
• Contact with the client

Responsible for the development of backend and frontend customizations of a web directory system. Application developed in PHP (Symfony). Along with the customizations, he has a lot of contact with customers, both by message and by calls, where most are in English.

Tools and technologies used:

• Golang -> New clients
• Languages: PHP, JavaScript
• Docker
• Symfony
• Service architecture
• GraphQL
• JS Library: jQuery
• Database: MySQL, Elasticsearch
• ORMs: Doctrine Framework
• Code Versioning: GIT (GitFlow)

Responsible for the development of all backend and frontend of a CRM web system integrated with project control. Application developed in PHP (CodeIgniter), and an API developed in PHP (Laravel). Responsible for backend and database restructuring to support the use of offline first in APP.

Tools and technologies used:

• Languages: PHP, JavaScript
• CodeIgniter
• Docker
• Laravel
• MVC and Rest API and Webservices,
• JS Frameworks: Angular
• JS Library: jQuery
• Database: MySQL
• ORMs: Eloquent Framework
• Code Versioning: GIT (GitFlow)