Resume
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General Information
| Full Name | Luis Martin Munguia Orta |
| Date of Birth | 18th June 1994 |
| Languages | English, Spanish |
Education
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2017 Bachelor of Arts
Whitman College
Work Experience
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March 2020- August 2022 Cloud/Devops Engineer
Star Tribune Media Company, LLC - Implemented PHP migration to Docker. Sub-minute deploys with ECS/Lambda and API Gateway, resultingin five-fold increase in efficiency and stability for key revenue streams.
- Migrated infrastructure across cloud providers ahead of IaC roadmap.
- Orchestrated CI/CD and infrastructure provisioning in Ansible and Terraform up to DNS level.
- 24/7 on-call support with custom Splunk, Jira, and Slack plugins for prompt resolution across all partsof the stack.
- Created sandbox test environments for developers with docker-compose.
- Automate secrets rotation and IAM configuration for the dev team and applications. Configurednetworking and internal nameservers.
- Achievements.
- reduced expenses.
- trivialized deployment process.
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June - December 2019 DevOps Consultant
Realogy Holdings - Downsized AWS costs by 25% for Fortune 500 by auditing EC2's and databases.
- Automated config management and rightsizing in Powershell.
- Planned and Implemented CI/CD pipelines in AWS for critical B2B applications.
- Set up CloudWatch monitoring and alerting for all production EC2s.
- Roadmapped ECS migration and containerized node applications.
- Created websites and provisioned databases as requested.
- Achievements.
- reduced expenses.
- trivialized deployment process.
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2018 - June 2019 DevOps Engineer
Clientek - Implemented CI/CD, IaC pipelines with Azure ARM across 10 Agile teams.
- Created deliverable proofs-of-concept for mobile and web apps in Python and Angular.
- On-call as part of 24/7 incident response team.
- Setup Azure monitoring and Sonarqube across all production.
- Reviewed incoming code, lint with tech leads daily.
- Achievements.
- reduced expenses.
- trivialized deployment process.
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June - September 2017 Machine Learning Developer, internship
Key Technology - Experimental and highly technical work in a demanding food tech environment.
- Achievements.
- Developed a suite of statistical analysis and ML tools in Python in tandem with our research in MLvision.
- Our new model led to a breakthrough six-fold increase in food sorting efficiency for hyperspectralcameras.
Certifications
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2020 - MCSD: Web Applications
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2019 - MCSA: App Builder