I am a data engineer with experience in designing, implementing, and monitoring data pipelines. I work on extracting and collecting data from various sources, including APIs, databases, and external sources, using technologies like BeautifulSoup for web scraping. I implement data transformation and provisioning processes for timely analysis, utilizing AWS Glue, Spark, AWS Lambda, Athena, S3, and RDS. I use Docker, Kubernetes, and Terraform to automate the deployment cycle with CI/CD. I have experience in integrating asynchronous messaging using SQS and RabbitMQ, developing Python scripts and applications for data manipulation and analysis, managing NoSQL databases like DynamoDB and MongoDB, and configuring and monitoring cloud services using CloudWatch. Additionally, I am responsible for monitoring and observability of microservices using Datadog, ensuring real-time detection and propagation of alerts via Slack in cases of inconsistencies, errors, or system integrity failures. I am always eager to learn new technologies and methodologies and share my knowledge and experience with the team.I am also a master's student in Computer Science at UNESP, currently involved in a research project in the field of public security. My work involves dealing with unstructured textual data from various heterogeneous sources. I am performing tasks such as data scraping and fusion, exploratory analysis, data engineering, and applying machine learning techniques for valuable insights.