DÖMÖTÖR LUGOSI
PROFESSIONAL SUMMARY
DevOps/SRE/Data Platform Engineer with 10+ years of experience building scalable infrastructure and Big Data platforms for Fortune 500 companies. Expert in Kubernetes, Terraform, CI/CD automation, and cloud-native architectures on AWS and Azure. Proven track record in HIPAA & SOC 2 compliance.
KEY HIGHLIGHTS
CORE COMPETENCIES
PROFESSIONAL EXPERIENCE
- Designed & implemented AKS & Databricks based architecture
- Built CI/CD (GitHub Actions, Terraform, Helm, ArgoCD)
- Owned end-to-end HIPAA & SOC 2 compliance
- Building an internal Big Data platform based on Azure Kubernetes (Kafka, JupyterHub, MLFlow, Luigi, Spark, Tibco etc.)
- Providing an Azure Data Factory-based solution for Data teams
- Implementing monitoring with Dynatrace
- Data Governance implementation with Informatica
- Implementing CI/CD processes for Data Engineers
- Providing general DevOps support for multiple teams
- Updating an outdated codebase to modern standards
- Dockerization and making the application ready for the cloud
- Write the complete AWS infrastructure in Terraform
- Write CI/CD pipelines in GitHub Actions and Jenkins
- Deployment automatization with Ansible
- Monitoring/alerting and logging implementation
- Migration from on-prem to EC2, then Kubernetes
- Write IaC in Cloudformation
- Write CI/CD Pipelines in Jenkins (DSL)
- Monitoring and logging implementation
- Migration from EC2 with custom AMIs to ECS, then EKS
- Developer/PO of database monitoring tool project
- Developer/DevOps Engineer on Oracle Cloud's Status Page
- SRE/Tiger Team member for different Products
TECHNICAL SKILLS
Container & Orchestration: Kubernetes, Docker, Helm, ArgoCD, EKS, AKS
Infrastructure as Code: Terraform, Ansible, CloudFormation, Pulumi
CI/CD: GitHub Actions, Jenkins, GitLab CI, ArgoCD
Cloud Platforms: AWS, Azure, Oracle Cloud, GCP
Data & Big Data: Databricks, Kafka, Spark, Azure Synapse, MLFlow, JupyterHub
Monitoring: Prometheus, Grafana, Dynatrace, ELK Stack, Loki
Programming: Python, Bash/Shell, YAML, JSON, Git