Fares HERHAR

- Resilient OpenStack architecture design tailored for multi-cloud environments. - Proactive maintenance of Kubernetes Operators ensuring high service availability. - Modular and accelerated GitHub Actions workflows via complete refactoring. - Seamless migration of secret management from Vault to OpenBao with zero downtime. - Centralized fleet orchestration using GitOps to synchronize clusters across diverse providers. - Unified observability and identity management to eliminate multi-cloud operational fragmentation.

- Standardized AWS Landing Zone deployment (IAM, VPC, S3) using modular Terraform. - Fully automated Databricks workspace provisioning via Infrastructure as Code. - Custom Internal Developer Platform API (Python FastAPI) for IaC orchestration. - Proactive Serverless monitoring architecture for Databricks using AWS Lambda. - Strategic FinOps dashboard implementation for resource cost optimization. - Modernized CI/CD pipeline architecture migrating from Jenkins to GitHub Actions. - Secure dynamic secret injection integrating Vault into deployment pipelines.

- Developed Custom Terraform Provider development in Go (Golang). - Optimized Kubernetes resource allocation and isolation using Taints & Tolerations. - Strict Policy-as-Code enforcement via OPA Gatekeeper and Helm Chart refactoring. - Declarative GitOps workflows with refactored ArgoCD manifests. - Secure Air-gapped Coder environment deployment for remote development. - Robust observability stack configuration using Prometheus and Alertmanager. - Automated Python scripting for security auditing and connection logging.

- Scalable MLOps infrastructure architecture on AWS (Lambda, Aurora, SQS). - Hardened OpenShift and Kubernetes security posture via strict OPA policies. - Standardized GitLab-CI template library and Kustomize deployment manifests. - Automated DevOps toolchain management (GitLab, Vault) using Ansible. - Expert technical consulting for cloud-native application migrations to Kubernetes.

- Optimized multi-stage Dockerfiles for lightweight and secure Python APIs. - Event-driven Jenkins CI/CD pipeline configuration linked to GitHub Webhooks. - Efficient Python scripting for automated data cleansing and preparation. - Predictive Machine Learning model implementation (KNN, Random Forest). - Reliable Linux system administration and Bash automation.