Professional Summary
Platform Engineer with 7 years of experience delivering scalable infrastructure and CI/CD pipelines for high-traffic applications. Specialises in AWS, Kubernetes, and Terraform automation with an eye on security and compliance. Enjoys architecting reliable systems that support rapid delivery and observable production environments.
Skills
- AWS
- Salesforce
- Ci/Cd
- Kubernetes
- Terraform
- Python
- Azure
- SQL
- GO
- Kafka
- Communication
- Linux
- Observability
- Docker
Experience
Platform Engineer — Openkyber
- Architected a multi-account AWS landing zone with Guardrails, reducing security incidents by 40%.
- Implemented Terraform and GitHub Actions pipelines, increasing deployment frequency from biweekly to daily.
- Optimised Kubernetes cluster autoscaling parameters, improving pod utilisation from 60% to 85% across environments.
- Designed observability dashboards in Grafana and DataDog, shortening mean MTTR from 6 hours to 2 hours.
- Collaborated with security teams to reduce critical vulnerabilities by 70% through policy-as-code.
Systems Analyst — Capgemini
Professional Summary
Platform Engineer with 7 years of experience delivering scalable infrastructure and CI/CD pipelines for high-traffic applications. Specialises in AWS, Kubernetes, and Terraform automation with an eye on security and compliance. Enjoys architecting reliable systems that support rapid delivery and observable production environments.
Skills
- AWS
- Salesforce
- Ci/Cd
- Kubernetes
- Terraform
- Python
- Azure
- SQL
- GO
- Kafka
- Communication
- Linux
- Observability
- Docker
Experience
Platform Engineer — Openkyber
- Architected a multi-account AWS landing zone with Guardrails, reducing security incidents by 40%.
- Implemented Terraform and GitHub Actions pipelines, increasing deployment frequency from biweekly to daily.
- Optimised Kubernetes cluster autoscaling parameters, improving pod utilisation from 60% to 85% across environments.
- Designed observability dashboards in Grafana and DataDog, shortening mean MTTR from 6 hours to 2 hours.
- Collaborated with security teams to reduce critical vulnerabilities by 70% through policy-as-code.
Systems Analyst — Capgemini
Professional Summary
Platform Engineer with 7 years of experience delivering scalable infrastructure and CI/CD pipelines for high-traffic applications. Specialises in AWS, Kubernetes, and Terraform automation with an eye on security and compliance. Enjoys architecting reliable systems that support rapid delivery and observable production environments.
Skills
- AWS
- Salesforce
- Ci/Cd
- Kubernetes
- Terraform
- Python
- Azure
- SQL
- GO
- Kafka
- Communication
- Linux
- Observability
- Docker
Experience
Platform Engineer — Openkyber
- Architected a multi-account AWS landing zone with Guardrails, reducing security incidents by 40%.
- Implemented Terraform and GitHub Actions pipelines, increasing deployment frequency from biweekly to daily.
- Optimised Kubernetes cluster autoscaling parameters, improving pod utilisation from 60% to 85% across environments.
- Designed observability dashboards in Grafana and DataDog, shortening mean MTTR from 6 hours to 2 hours.
- Collaborated with security teams to reduce critical vulnerabilities by 70% through policy-as-code.
Systems Analyst — Capgemini
Professional Summary
Platform Engineer with 7 years of experience delivering scalable infrastructure and CI/CD pipelines for high-traffic applications. Specialises in AWS, Kubernetes, and Terraform automation with an eye on security and compliance. Enjoys architecting reliable systems that support rapid delivery and observable production environments.
Skills
- AWS
- Salesforce
- Ci/Cd
- Kubernetes
- Terraform
- Python
- Azure
- SQL
- GO
- Kafka
- Communication
- Linux
- Observability
- Docker
Experience
Platform Engineer — Openkyber
- Architected a multi-account AWS landing zone with Guardrails, reducing security incidents by 40%.
- Implemented Terraform and GitHub Actions pipelines, increasing deployment frequency from biweekly to daily.
- Optimised Kubernetes cluster autoscaling parameters, improving pod utilisation from 60% to 85% across environments.
- Designed observability dashboards in Grafana and DataDog, shortening mean MTTR from 6 hours to 2 hours.
- Collaborated with security teams to reduce critical vulnerabilities by 70% through policy-as-code.
Systems Analyst — Capgemini
Professional Summary
Platform Engineer with 7 years of experience delivering scalable infrastructure and CI/CD pipelines for high-traffic applications. Specialises in AWS, Kubernetes, and Terraform automation with an eye on security and compliance. Enjoys architecting reliable systems that support rapid delivery and observable production environments.
Skills
- AWS
- Salesforce
- Ci/Cd
- Kubernetes
- Terraform
- Python
- Azure
- SQL
- GO
- Kafka
- Communication
- Linux
- Observability
- Docker
Experience
Platform Engineer — Openkyber
- Architected a multi-account AWS landing zone with Guardrails, reducing security incidents by 40%.
- Implemented Terraform and GitHub Actions pipelines, increasing deployment frequency from biweekly to daily.
- Optimised Kubernetes cluster autoscaling parameters, improving pod utilisation from 60% to 85% across environments.
- Designed observability dashboards in Grafana and DataDog, shortening mean MTTR from 6 hours to 2 hours.
- Collaborated with security teams to reduce critical vulnerabilities by 70% through policy-as-code.
Systems Analyst — Capgemini
Professional Summary
Platform Engineer with 7 years of experience delivering scalable infrastructure and CI/CD pipelines for high-traffic applications. Specialises in AWS, Kubernetes, and Terraform automation with an eye on security and compliance. Enjoys architecting reliable systems that support rapid delivery and observable production environments.
Skills
- AWS
- Salesforce
- Ci/Cd
- Kubernetes
- Terraform
- Python
- Azure
- SQL
- GO
- Kafka
- Communication
- Linux
- Observability
- Docker
Experience
Platform Engineer — Openkyber
- Architected a multi-account AWS landing zone with Guardrails, reducing security incidents by 40%.
- Implemented Terraform and GitHub Actions pipelines, increasing deployment frequency from biweekly to daily.
- Optimised Kubernetes cluster autoscaling parameters, improving pod utilisation from 60% to 85% across environments.
- Designed observability dashboards in Grafana and DataDog, shortening mean MTTR from 6 hours to 2 hours.
- Collaborated with security teams to reduce critical vulnerabilities by 70% through policy-as-code.
Systems Analyst — Capgemini
Professional Summary
Platform Engineer with 7 years of experience delivering scalable infrastructure and CI/CD pipelines for high-traffic applications. Specialises in AWS, Kubernetes, and Terraform automation with an eye on security and compliance. Enjoys architecting reliable systems that support rapid delivery and observable production environments.
Skills
- AWS
- Salesforce
- Ci/Cd
- Kubernetes
- Terraform
- Python
- Azure
- SQL
- GO
- Kafka
- Communication
- Linux
- Observability
- Docker
Experience
Platform Engineer — Openkyber
- Architected a multi-account AWS landing zone with Guardrails, reducing security incidents by 40%.
- Implemented Terraform and GitHub Actions pipelines, increasing deployment frequency from biweekly to daily.
- Optimised Kubernetes cluster autoscaling parameters, improving pod utilisation from 60% to 85% across environments.
- Designed observability dashboards in Grafana and DataDog, shortening mean MTTR from 6 hours to 2 hours.
- Collaborated with security teams to reduce critical vulnerabilities by 70% through policy-as-code.
Systems Analyst — Capgemini
Professional Summary
Platform Engineer with 7 years of experience delivering scalable infrastructure and CI/CD pipelines for high-traffic applications. Specialises in AWS, Kubernetes, and Terraform automation with an eye on security and compliance. Enjoys architecting reliable systems that support rapid delivery and observable production environments.
Skills
- AWS
- Salesforce
- Ci/Cd
- Kubernetes
- Terraform
- Python
- Azure
- SQL
- GO
- Kafka
- Communication
- Linux
- Observability
- Docker
Experience
Platform Engineer — Openkyber
- Architected a multi-account AWS landing zone with Guardrails, reducing security incidents by 40%.
- Implemented Terraform and GitHub Actions pipelines, increasing deployment frequency from biweekly to daily.
- Optimised Kubernetes cluster autoscaling parameters, improving pod utilisation from 60% to 85% across environments.
- Designed observability dashboards in Grafana and DataDog, shortening mean MTTR from 6 hours to 2 hours.
- Collaborated with security teams to reduce critical vulnerabilities by 70% through policy-as-code.
Systems Analyst — Capgemini
Professional Summary
Platform Engineer with 7 years of experience delivering scalable infrastructure and CI/CD pipelines for high-traffic applications. Specialises in AWS, Kubernetes, and Terraform automation with an eye on security and compliance. Enjoys architecting reliable systems that support rapid delivery and observable production environments.
Skills
- AWS
- Salesforce
- Ci/Cd
- Kubernetes
- Terraform
- Python
- Azure
- SQL
- GO
- Kafka
- Communication
- Linux
- Observability
- Docker
Experience
Platform Engineer — Openkyber
- Architected a multi-account AWS landing zone with Guardrails, reducing security incidents by 40%.
- Implemented Terraform and GitHub Actions pipelines, increasing deployment frequency from biweekly to daily.
- Optimised Kubernetes cluster autoscaling parameters, improving pod utilisation from 60% to 85% across environments.
- Designed observability dashboards in Grafana and DataDog, shortening mean MTTR from 6 hours to 2 hours.
- Collaborated with security teams to reduce critical vulnerabilities by 70% through policy-as-code.
Systems Analyst — Capgemini
Professional Summary
Platform Engineer with 7 years of experience delivering scalable infrastructure and CI/CD pipelines for high-traffic applications. Specialises in AWS, Kubernetes, and Terraform automation with an eye on security and compliance. Enjoys architecting reliable systems that support rapid delivery and observable production environments.
Skills
- AWS
- Salesforce
- Ci/Cd
- Kubernetes
- Terraform
- Python
- Azure
- SQL
- GO
- Kafka
- Communication
- Linux
- Observability
- Docker
Experience
Platform Engineer — Openkyber
- Architected a multi-account AWS landing zone with Guardrails, reducing security incidents by 40%.
- Implemented Terraform and GitHub Actions pipelines, increasing deployment frequency from biweekly to daily.
- Optimised Kubernetes cluster autoscaling parameters, improving pod utilisation from 60% to 85% across environments.
- Designed observability dashboards in Grafana and DataDog, shortening mean MTTR from 6 hours to 2 hours.
- Collaborated with security teams to reduce critical vulnerabilities by 70% through policy-as-code.
Systems Analyst — Capgemini
Professional Summary
Platform Engineer with 7 years of experience delivering scalable infrastructure and CI/CD pipelines for high-traffic applications. Specialises in AWS, Kubernetes, and Terraform automation with an eye on security and compliance. Enjoys architecting reliable systems that support rapid delivery and observable production environments.
Skills
- AWS
- Salesforce
- Ci/Cd
- Kubernetes
- Terraform
- Python
- Azure
- SQL
- GO
- Kafka
- Communication
- Linux
- Observability
- Docker
Experience
Platform Engineer — Openkyber
- Architected a multi-account AWS landing zone with Guardrails, reducing security incidents by 40%.
- Implemented Terraform and GitHub Actions pipelines, increasing deployment frequency from biweekly to daily.
- Optimised Kubernetes cluster autoscaling parameters, improving pod utilisation from 60% to 85% across environments.
- Designed observability dashboards in Grafana and DataDog, shortening mean MTTR from 6 hours to 2 hours.
- Collaborated with security teams to reduce critical vulnerabilities by 70% through policy-as-code.
Systems Analyst — Capgemini