Danrley Pereira

General Responsibilities:

• Developed with the team marketing campaign tracking and solution sharing.
• Mentored the team on building a book registration and exchange system for NGOs.
• Collaborated with another company to deliver a mobile application using .NET MAUI. Design UI/UX; improve and implement rest services using .NET Core and .NET MVC; and deliver reports about architecture and infrastructure.
• Managed and maintained cloud infrastructure services across GCP and AWS.

Project: Restaurant Orders Manager

• Integrated Symphony (Oracle - v1 and v2) using SOAP and REST.
• Utilized the Django framework implementing clean architecture.
• Used Celery for scheduling updates of orders, prices, and stock (considering each restaurant system’s on-premise status and intermittent internet access).
• Mentored junior developers in understanding SOLID principles and implementing clean Architecture effectively.

Project: Quality Analysis Report with CI/CD

• Generated Surefire reports in the CI pipeline using Maven and GitLab actions.
• Dispatched Surefire reports to an S3 bucket.
• Deployed a Lambda Function written in Python, triggered by changes in the S3 bucket.
• Updated EC2 container to reflect Allure reports based on the S3 bucket changes.
• Assisted the client in propagating the solution across the organization.
• Configured SES to automatically send email notifications to stakeholders when the Allure report is updated.

• Upgraded Manual tasks to automatic tasks.
• Designed and developed an ETL system.
• Transitioned from query-based procedural solutions to an object-oriented project with layered responsibilities.
• Improved SLA of 70% to 95%.

Technologies/Tools: Python, Pandas, Flask, MySQL, SQLAlchemy, Selenium, Azure DevOps, Docker.

• Served as an IT Consultant, collaborating with CTO and CMO to implement performant and trackable marketing campaigns.
• Worked as part of the CORE team to maintain backend services and micro frontend systems.
• Helped to track performance issues.
• MongoDB queries up to 1.3 seconds in higher traffic to 0.6 seconds.
• DataLake uses BigQuery to dispose data to ETL systems (focusing on migrating to relational data).
• Addressed security issues based on OWASP standards.
• Add new features and fix bugs of an internal CLI to build up, monitor and set environment (Golang) - from one day or two of setting things up to a pair of hours.

Technologies/Tools: Google Analytics, Node, Express, Vue, MongoDB, GCP, Docker, Kubernetes, TypeScript, JavaScript, Go, Mocha.