Manuel Gámez

Built policies and pipelines using Terraform, Azure Automation, Functions, and Lambdas to validate compliance, and ingest vulnerability and no

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• • compliance configuration into ServiceNow from Snowflake. Collaborated with distributed teams across regions and business lines to align requirements and maintain consistency, reliability, and scale of cloud services. Implemented multi-cloud security and monitoring for a global healthcare platform serving over 69,500 users across Azure, AWS, and GCP environments. Developed Python scripts for data analysis using Databricks and PySpark, enhancing data processing efficiency.

Developed distributed microservices using Python (Flask), C# (.NET), and React (TypeScript) on Azure for cybersecurity and risk management.

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• • Implemented automated penetration test and vulnerability ingestion pipelines; stored results in CosmosDB and exposed them via backend APIs for dashboards and risk tracking. Used CI/CD, containers, and Infrastructure as Code (ARM, YAML) to deliver fault-tolerant services handling large volumes of scan and event data.

Deloitte is a the world Improved application reliability for 100 users by modernizing legacy systems to Angular and Django REST.

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• • Improved threat response efficiency to 275,000 users by implementing SOAR workflows on IBM Resilient with Azure automation. Defined use cases and data flows to ensure consistent, high-quality incident data across multiple systems.