Gideon Etah Ekane

• Deployed 50+ Kubernetes (K3s) clusters at retail sites to support sub-100ms sensor data ingestion, maintaining 99.99% uptime for drone-based inventory systems. • Built GitLab CI/CD pipelines with integrated Trivy and SonarQube scans, reducing deployment duration from 4 hours to 15 minutes and preventing release rollbacks. • Processed 10TB+ of telemetry data daily using Prometheus, ELK, and Grafana, which reduced MTTR from 2 hours to under 10 minutes. • Automated MinIO, MongoDB, and resource lifecycle management with Python scripts and Helm charts, cutting manual tasks by 95%. • Enforced SOC2-aligned DevSecOps pipelines with static and dynamic scans, decreasing unresolved security tickets by 90%. • Reduced multi-cloud (GCP) expenses by $300K annually using auto-scaling, spot pricing, and resource rightsizing strategies. • Configured disaster recovery with cross-region snapshots and IaC-based failover, achieving 15-minute RTO and 5-minute RPO. • Refactored 60+ services from a monolith to Dockerized microservices, enabling faster deployments and reducing inter-team dependencies. • Implemented ArgoCD-based GitOps workflows with Kustomize for 50+ edge clusters, enabling zero-touch deployments and reducing configuration drift by 98%. • Integrated Jaeger and Zipkin for distributed tracing across microservices, increasing root cause identification speed by 75% during production incidents. • Hardened deployment pipelines by integrating Snyk and OPA policy checks into GitLab CI, blocking 95% of insecure builds before they reached staging.

• Managed 15+ environments using Terraform modules and Terratest tests, reducing infrastructure drift by 95%. • Deployed applications handling 50M+ daily transactions using blue-green and canary strategies via AWS CodeDeploy and Route53, maintaining 99.8% uptime. • Reduced build-to-deploy cycle from 6 hours to 30 minutes by designing Jenkins pipelines with SonarQube gates and test automation. • Migrated 3 monoliths to 25+ ECS-based microservices with internal DNS discovery, improving development speed and scalability. • Cut incident response time by 70% by integrating Prometheus, CloudWatch, and Datadog monitoring with alert thresholds. • Enabled 98% compliance with deployment policies by integrating ArgoCD and OPA into GitOps workflows. • Supported 10 development teams by managing multi-database clusters (MongoDB, PostgreSQL, Redis, Couchbase) with daily backup automation. • Reduced security incidents by 85% through implementation of IAM, VPC segmentation, and image scanning with Trivy. • Saved 25% in annual cloud costs via EC2 rightsizing and Python-based cleanup automation across AWS resources. • Achieved RTO of 20 minutes and RPO of 10 minutes with automated cross-region backup replication. • Decreased onboarding time by 40% by standardizing Helm-based deployment patterns and internal documentation

• Aggregated CI/CD metrics from 100+ Jenkins pipelines using Python ETL and AWS QuickSight, enabling visibility into deployment trends. • Cut provisioning time by 75% by building Terraform modules for AWS (EC2, RDS, VPC) and Azure (VMs, VNets, NSGs) with test automation. • Delivered CI/CD workflows for 20+ applications using Jenkins, Groovy DSL, and integrated test gates, maintaining 99.5% release success rate. • Migrated 200+ workloads from on-prem to AWS using a mix of rehosting and replatforming, lowering infra costs by 40%. • Deployed centralized observability using ELK, Grafana, and Prometheus across 100+ servers, reducing root cause analysis time by 60%. • Implemented Docker-based containerization for 50+ legacy services and managed their orchestration using Kubernetes. • Developed 100+ Python scripts to automate EC2 operations, snapshots, and resource tagging, improving operational efficiency by 40%. • Designed and deployed hybrid cloud networking using Azure VNets and VPNs to support secure data flows between business units.