I specialize in building high-availability MongoDB clusters, automating cloud environments with Terraform, and implementing DevOps pipelines using modern tooling. My work spans MongoDB administration (7.x/8.x), infrastructure automation, performance tuning, backup/restore strategies, monitoring, and scaling across Mac, WSL, Rocky Linux, and AWS.
- Replica sets, sharding, high availability & disaster recovery
- Backup & restore (mongodump, snapshots, PITR)
- Indexing strategy, profiler analysis, query performance tuning
- WiredTiger internals, journaling, storage optimization
- Prometheus + Grafana monitoring stack
- MongoDB Atlas provisioning & automation using Terraform
- Terraform (AWS + MongoDB Atlas modules)
- Docker, Docker Compose
- Git, GitHub Actions, CI/CD workflows
- Jenkins pipelines & automation scripting
- Ansible for server provisioning & MongoDB configuration
- Prometheus exporters, PMM setup, Grafana dashboards
- Linux administration, systemd services, logging & monitoring
- EC2 provisioning using Terraform
- IAM, Security Groups, VPC networking basics
- S3 for snapshots, logs, and artifact storage
- Hybrid cluster management: Local VMs + Cloud deployments
Databases:
MongoDB (Enterprise + Community, 7.x / 8.x), PostgreSQL (basics)
DevOps / Cloud / Automation:
Terraform, Docker, Ansible, Jenkins, Git/GitHub, Prometheus, Grafana, PMM
Scripting & Languages:
Python, Bash, YAML, JSON, Markdown
- Fully automated Atlas project & cluster creation
- Database users, IP access lists, backups, and security configuration
- Git-controlled Infrastructure-as-Code workflow
- High availability setup on three Rocky Linux VMs
- Backup pipelines, snapshot verification, disaster recovery testing
- Exporter + Grafana monitoring integration
- Local development replica set
- Automated scripts, health checks, and initialization
- Ansible playbooks for MongoDB installation & configuration
- Terraform EC2 provisioning for dev/test clusters
- Kubernetes (future DB operator workloads)
- Advanced Terraform modules & reusable IaC patterns
- AWS DevOps concepts
- Kubernetes & Operators for database workload automation
- Advanced Terraform Cloud workflows & reusable module patterns
- AWS DevOps (ECR, ECS, IAM, VPC, CI/CD pipelines)
- Database reliability engineering (SRE practices for DB systems)
- Observability stack enhancements (Loki, Tempo, Alertmanager)