Implementei Airflow na AWS usando Terraform para garantir uma plataforma gerenciável e de fácil manutenção. A infraestrutura utiliza ECS com Docker, garantindo recursos computacionais isolados para cada DAG além da possibilidade de escalar recursos individualmente. Para esse projeto também utilizei ECR, CloudWatch e IAM.Também fui responsável pelo desenvolvimento de um Metabase. Para esse projeto utilizei Terraform para configurar recursos como ECS, RDS com Postgres e CloudWatch

- Tool for loading data into RedshiftI worked on planning and developing a tool for loading .xlsx files into Redshift. Simplifying the loading of exploratory data or data from sources that were not previously connected to Redshift.The back-end was developed in Python using FastApi and the front-end in TypeScript with React. I implemented the structure using Terraform (IaC) with components such as ECS, ECR, CloudWatch, CodePipeline and IAM. Implementing new functions in the back and front-end in continuous development.In addition to participating in the management of the platform, training for the business areas that used the tool and preparation of data quality tests using GreatExpectations.- Governance PlatformDevelopment of a Data Governance platform using Datahub.Implemented the infrastructure with Terraform (IaC) using resources such as ECS, OpenSearch, CodePipeline, IAM. The platform was powered by D-1 processes developed in Python and GraphQL.I also developed a microservice for ingesting metadata generated by the data team's internal processes. The architecture of this application used Serverless with AWS and in addition to ECS, ECR, DynamoDB and CloudWatch implemented with Terraform (IAC).- Python LibraryI worked as one of the developers of a Python library for internal use, aiming to standardize recurring processes and implement the concepts of Clean Code used by the team.- FUPsI helped organize periodic team meetings to share technical experience for collective development. During these meetings, we presented projects on which we had worked and did a “hands-on” with the technologies used.

- Metadata cataloging toolAssisted in the creation of a metadata cataloging tool used for data governance. The back-end of the tool was developed in Python using FastApi and the front-end in TypeScript with React.I also participated in the implementation of this tool on AWS on an EC2 using Docker and its integration with S3 and RDS (MySQL)