Arilton Filho

Engineered ETL pipelines, implementing efficient debugging strategies and automation to improve data integration efficiency and scalability Delivered performance improvements across multiple ETL connectors, including reducing runtimes from 2 days to 2 hours, 30 minutes to 40 seconds, and 12 hours to 3 hours Technologies: Python, Meltano, Pandas, GraphQL, REST, AWS, S3, CloudWatch, Retool, ETL, SCRUM

Redesigned the backend architecture for a credit suite, refining data modeling and API performance, which resulted in faster data retrieval times by 50%, directly improving user experience Directed end-to-end development efforts, accelerating feature iteration cycles by 30% Developed CI/CD pipelines, deploying successfully on AWS, and establishing a comprehensive test suite with over 90% code coverage Tech: Python, Django, Celery, Postgres, Redis, .NET, Terraform, Docker, AWS, SNS, EC2, RDS, CFN, TDD, SCRUM

Enhanced fintech backend, automating payment processes and streamlining operations, saving 5 hours per week for collaborators Managed data processing and automated payment and invoice management, handling over 1 million dollars Increased payment velocity by 10% through optimized automation Technologies: Python, Django, Celery, Postgres, Redis, Docker, Sentry, Kubernetes, TDD, SCRUM

Refined payment services backend, integrating Mastercard services for Virtual Card Numbers (VCN), processing almost 10,000 transactions per month Reinforced credit card functionality with KMS, mitigating a critical security vulnerability and augmenting overall data protection Delivered cost-saving fixes, reducing monthly expenses by 30,000 BRL Technologies: Python, Serverless Framework, Microservices, GraphQL, AWS Lambda, API Gateway, DynamoDB, S3, KMS, Scrum

Led backend development, optimizing communication between Intelbras equipment, application database, and frontend components, with a user approval rating of 93% Designed solution architecture, performed database modeling, and developed API development, increasing the number of functions by 200% and enhancing overall system capabilities. Technologies: Python, Django Rest Framework, MongoDB, MQTT, REST API, SCRUM, ELK

Architected solutions for public healthcare improvement, contributing to intra-hospital, state, and national systems, influencing over 156 million users Led web and mobile development, data analysis, modeling, and ETL pipeline initiatives, especially on AVASUS platform, which offered approximately 400 courses Developed a Vue.js dashboard to AVASUS, integrating data from multiple sources to provide insights for decision-makers Tech: Python, Django, Laravel, VueJS, Flutter, Postgres, ELK, Scikit-Learn, SCRUM