Rafael Bertelli
About Rafael Bertelli
Rafael Bertelli is a Backend Software Engineer with expertise in serverless computing, particularly within the AWS ecosystem. He has contributed to significant projects such as the Venmo integration and the PoweredBy Platform at Dosh, where he currently works.
Work at Dosh
Rafael Bertelli has been employed at Dosh as a Backend Software Engineer since 2018. In this role, he has contributed to the development of significant projects, including the Venmo integration and the PoweredBy Platform. His responsibilities involve utilizing serverless computing within the AWS ecosystem and implementing Infrastructure-as-Code (IaC) practices with Terraform to manage cloud resources. Rafael employs various AWS services, such as Lambda, DynamoDB, Kinesis, Firehose, SQS, API Gateway, and SNS, in his daily engineering tasks.
Previous Experience
Prior to his current position at Dosh, Rafael Bertelli worked at Hoss as a Backend Software Engineer from 2020 to 2021 in Austin, Texas. His experience also includes a role as a Full-stack Web Developer at Command Alkon from 2016 to 2018 in São José do Rio Preto, Brazil, and a position as a Full-stack Developer at Kenoby for 7 months in São Paulo, Brazil, in 2018. These roles have contributed to his expertise in software development and backend engineering.
Education and Expertise
Rafael Bertelli holds a Bachelor's degree in Computer Science from Universidade Paulista, where he studied from 2010 to 2014. Additionally, he completed a Técnico em Informatica at ETEC Elias Nechar from 2008 to 2010. His educational background has equipped him with a solid foundation in software engineering principles and practices, particularly in serverless computing and cloud technologies.
Technical Skills
Rafael Bertelli specializes in serverless computing, particularly within the AWS ecosystem. He employs Infrastructure-as-Code (IaC) practices with Terraform for cloud resource management and deployment. His technical skills include using AWS services such as Lambda, DynamoDB, Kinesis, Firehose, SQS, API Gateway, and SNS. He also implements alerting and monitoring systems using CloudWatch Metrics/Alerts and PagerDuty to maintain system health.