Fernando Corey
Senior DevOps Enginer at FloQast
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolFernando Corey is a Senior DevOps Engineer and Principal Cloud Architect based in Seattle with 11 years of experience building scalable, cost-optimized systems across AWS, Azure, and GCP. He specializes in running large microservice fleets and CI/CD at scale—managing 400+ microservices, 10+ microfrontends, and supporting 1,200+ daily deployments with GitHub Actions. Fernando blends hands-on backend work (Python, DynamoDB) and serverless architectures with infrastructure-as-code (Terraform, CloudFormation), and has integrated complex services like Snowflake via AWS PrivateLink. He has a strong track record in IoT and telecom environments—deploying Azure IoT Edge to thousands of devices and adapting Magma mobile core for cloud deployments. An active educator and author, he publishes tutorials and courses and contributes backend examples to popular AWS training repos. He pairs product-minded engineering with practical cost-to-utilization strategies, often surfacing operational metrics through DORA pipelines and analytics.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Arts (B.A.) Politics Philosophy, Bachelor of Arts (B.A.) Politics Philosophy at Whitman College
Stackoverflow
429reputation
37kreached
11answers
9questions
Github Skills (18)
python10
amazon-dynamodb10
dynamodb10
aws10
nosql-database10
cloud-computing9
serverless8
apidoc8
api8
json7
aws-apigateway6
macos6
aws-serverless6
openssl6
serverless-framework6
Programming languages (12)
Github contributions (5)
linuxacademy/aws-cda-2018
Feb 2018 - Oct 2018
Role in this project:
Backend Developer
Backend DeveloperContributions:77 commits, 2 PRs, 58 pushes in 8 months
Contributions summary:Fernando primarily contributed to the development of backend functionalities within the AWS ecosystem. Their work involved creating and modifying Python scripts to interact with Amazon DynamoDB, including functions for writing, reading, querying, and scanning data. The user also integrated and tested these DynamoDB operations, with a focus on data manipulation and processing. Moreover, the user updated code to accommodate new testing requirements for read operations and implemented index queries, showcasing a practical understanding of DynamoDB's features and use cases.
linuxacademy/content-aws-bigdata-cert
May 2018 - Oct 2018
Contributions:32 commits, 18 pushes in 5 months
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