Matlab Mehdiyev

Architected and deployed CI/CD pipelines with GitLab CI and GitHub Actions for 12+ client projects, accelerating deployment cycles by 75%.
Optimized cloud infrastructure costs by 40% through container resource optimization, rightsizing, and implementation of auto-scaling policies across AWS and Azure environments.
Engineered robust monitoring solutions with Prometheus and Grafana, achieving 99.95% system uptime and proactive incident detection.
Reduced incident response time by 65% by establishing comprehensive alerting systems using CloudWatch, Zabbix, and PagerDuty integration.
Automated 90% of infrastructure provisioning using Terraform and Terragrunt, reducing deployment time from days to hours and eliminating configuration drift.
Enhanced development velocity by 50% through adoption of GitOps workflows with FluxCD and ArgoCD, enabling declarative infrastructure management.
Designed and configured production-grade Kubernetes clusters that seamlessly scaled to handle 3x traffic increases without performance degradation.
Decreased logging storage costs by 30% while improving data retention policies using ELK/EFK stack and Loki for centralized log management.

End-to-End Node Architecture: Engineered, deployed, and scaled production-grade blockchain infrastructure from scratch using Docker, Kubernetes StatefulSets, and Helm charts across major L1/L2 networks, including Ethereum, Optimism, Arbitrum, Sui, Hedera, Polkadot, and Tron.
Hardfork & Upgrade Lifecycle Management: Successfully managed network-critical upgrades, protocol maintenance, and emergency coordination for complex hardforks across multi-chain ecosystems, ensuring zero-downtime ledger continuity.
Advanced Client Optimization: Optimized high-throughput execution and consensus clients, including Erigon and Lighthouse, tuning memory allocation, peer discovery parameters, and NVMe disk I/O to maximize synchronization speeds and minimize block propagation latency.
Infrastructure-as-Code for NodeOps: Fully automated blockchain node provisioning, snapshot restorations, and validator configurations using Terraform and Ansible, cutting node deployment and recovery time by over 80%.
Data Availability & Snapshot Management: Designed automated backup and high-speed snapshot sync pipelines utilizing AWS S3/CloudFront and custom scripts, drastically accelerating data recovery times for archival and full nodes.
Monitoring & Metric Synthesis: Deployed comprehensive Prometheus, Grafana, and Loki logging and monitoring frameworks to track blockchain-specific metrics (e.g., peer counts, block height lag, validator uptime, slashing risks).
Incident Response & SRE Culture: Participated in a rigorous 24/7 on-call rotation, leading swift incident mitigation for critical infrastructure anomalies and authoring comprehensive post-mortems to eliminate single points of failure.

Built complete DevOps infrastructure from ground zero, reducing deployment time by 80% and enabling 3x faster feature releases for a blockchain platform.
Slashed cloud infrastructure costs by 45% through optimization strategies including slim base images, multi-stage Docker builds, and resource rightsizing.
Achieved 99.99% uptime for mission-critical systems through implementation of high-availability architecture with multi-AZ deployment and automated failover.
Reduced incident response time by 70% by integrating comprehensive monitoring with Zabbix, Prometheus, and custom alerting dashboards.
Decreased deployment failures by 85% through incorporation of automated testing, quality gates, and rollback mechanisms in CI/CD pipelines.
Cut container storage costs by 40% by implementing lifecycle policies and image cleanup automation in Amazon ECR.
Strengthened security posture by 60% through execution of infrastructure security scanning with Trivy, Checkov, and automated compliance checks.

Streamlined deployment processes by 65% through creation of efficient CI/CD pipelines with GitLab CI for AI/ML application deployments.
Automated 80% of infrastructure provisioning using Terraform, reducing setup time from weeks to days and ensuring environment consistency.
Implemented configuration management with Ansible across 50+ servers, reducing system inconsistencies by 90% and enabling rapid updates.
Optimized container orchestration reliability by 75% through Docker Swarm tuning and service mesh implementation.

Architected High Availability ELK cluster that reduced log search time by 70% while efficiently handling 5TB+ of daily log data.
Enhanced system visibility by integrating 100+ servers into centralized Zabbix/Grafana monitoring platform, reducing undetected incidents by 90%.
Improved web server performance by 40% through optimization and tuning of Apache httpd, Nginx, and Tomcat configurations.

Reduced disaster recovery time by 85% through comprehensive process automation using Ansible playbooks for backup, restore, and failover procedures.
Successfully implemented security standards (CIS Benchmarks and PCI-DSS) across all systems, passing external security audits with 100% compliance.
Strengthened security by integrating 50+ Linux VMs with Active Directory, implementing RBAC, and reducing unauthorized access attempts by 95%.