Wisley Ramukhuba

• Migrated self-hosted GitLab to GitLab.com (SaaS), ensuring seamless transition and minimal downtime for development teams.
• Updated GitLab CI/CD pipelines to integrate with a new registry, improving deployment reliability and consistency.
• Designed and implemented a CI/CD pipeline for a classic .NET service hosted on Windows VMs, reducing deployment time and errors.
• Maintained Nomad clusters (Development, QA, and Production) on AWS EC2, ensuring high availability and scalability.
• Managed and deployed Nomad jobs across multiple environments, streamlining release management.
• Built a Kubernetes cluster on Ubuntu VMs with ArgoCD for GitOps and HashiCorp Vault for secure secrets management.
• Provisioned AWS resources with Terraform, including Lambda functions and API Gateway, enabling serverless applications.
• Troubleshot and resolved critical production outages, restoring services within SLA.
• Enhanced monitoring by adding extra alerts for the production Nomad cluster, reducing mean time to detection.
• Reduced AWS costs by proactively identifying and deleting unused resources, optimizing infrastructure spend.
• Scaled AWS RDS DB storage, improving database performance and preventing capacity issues.
• Installed and configured Prometheus and Grafana for observability on Kubernetes clusters.
• Created custom Prometheus scrape jobs and Grafana dashboards with alerts, improving system visibility and proactive issue detection.
• Managed and deployed microservices running in Docker containers, ensuring scalability, high availability, and efficient resource utilization.

Key Projects

• Moodle Infrastructure Upgrade
  Deployed Moodle infrastructure on AWS using CloudFormation, implementing Infrastructure as Code (IaC) principles for a client version upgrade.
• CloudWatch Log Automation
  Automated historical data extraction from CloudWatch Logs using Python, AWS Lambda, and DynamoDB (NoSQL).
• Serverless API Backend Management
  Managed and maintained serverless APIs on AWS, leveraging Lambda, S3, DynamoDB, Step Functions, API Gateway, CloudWatch, Systems Manager, and SNS.
  Result: Improved reliability, scalability, and monitoring of customer-facing APIs.
• Django Application on AWS
  Maintained and debugged a Django application deployed inside a Docker container on Linux EC2 instances.
  Result: Increased application stability and reduced production downtime.
• Data Pipeline with Matillion & Snowflake
  Created and maintained Matillion jobs to export data from Snowflake to AWS S3 on daily and monthly schedules, using SQL scripting.
  Result: Ensured reliable and automated data transfers for reporting and analytics.
• CI/CD for Serverless Framework Deployments
  Designed and maintained GitHub repositories with GitHub Actions workflows for CI/CD, deploying API and data pipeline resources via the Serverless Framework across multiple AWS accounts.
  Result: Standardized deployments, improved developer productivity, and reduced human error.

• Optimized machine learning models for improved prediction accuracy and performance.
• Developed custom algorithms to solve unique challenges in data analysis and modeling.
• Utilized programming languages such as Python – applying relevant libraries and frameworks when appropriate.
• Created data visualization graphics, translating complex data sets into comprehensive visual representations.