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DÖMÖTÖR LUGOSI

Platform, Data & AI Engineer
Remote / Worldwide hello@lugosidomotor.hu linkedin.com/in/domotorlugosi lugosidomotor.hu medium.com/@domotorlugosi

PROFESSIONAL SUMMARY

DevOps and Platform Engineer with 10+ years of experience building production-grade infrastructure, scalable data platforms, and automated delivery systems for Fortune 500 companies. Expert in Kubernetes, Terraform, CI/CD automation, and cloud-native architectures on AWS and Azure. I leverage AI-assisted workflows and automation-first engineering to compress delivery cycles, accelerate troubleshooting, and create leverage for clients. Proven track record in HIPAA & SOC 2 compliant environments.

KEY HIGHLIGHTS

10+ Years Experience
Fortune 500 Clients
AWS & Azure Cloud Platforms
HIPAA/SOC2 Compliance
Platform · Data · AI Delivery Approach

CORE COMPETENCIES

Kubernetes Docker Terraform AWS Azure CI/CD GitHub Actions ArgoCD Helm Python Databricks Kafka Spark Prometheus Grafana Infrastructure as Code Site Reliability Engineering Data Platform Engineering AI-Assisted Engineering Intelligent Automation Platform Engineering Observability

PROFESSIONAL EXPERIENCE

Lead DevOps & Platform Engineer
Contractor at Undisclosed Clients (NDA)
Aug 2024 – Present
Architecting AI-ready data platforms & scalable cloud infrastructure with automation-first delivery.
Key Contributions:
  • Designed & implemented AKS & Databricks-based data platform architecture
  • Built CI/CD pipelines (GitHub Actions, Terraform, Helm, ArgoCD)
  • Owned end-to-end HIPAA & SOC 2 compliance with automated governance
  • Leveraged AI-assisted workflows to compress infrastructure delivery cycles
Tech: Linux, Python, Shell, Docker, Kubernetes, Helm, ArgoCD, Terraform, Azure, GitHub Actions, Databricks, KeyCloak, Celery, Temporal
Senior Platform & Data Engineer
Allianz Technology
Feb 2023 – Aug 2024 · 1 yr 7 mo
Built an enterprise Big Data platform with ML/AI foundations serving multiple internal teams.
Key Contributions:
  • Built internal Big Data platform on Azure Kubernetes (Kafka, JupyterHub, MLFlow, Spark)
  • Delivered Azure Data Factory-based self-service analytics for Data teams
  • Implemented full-stack observability with Dynatrace
  • Established Data Governance framework with Informatica
  • Built CI/CD processes enabling Data Engineers to ship autonomously
  • Provided DevOps platform support across multiple teams
Tech: Linux, Python, Shell, Docker, Kubernetes, Helm, ArgoCD, Terraform, Azure, Jenkins, GitHub Actions, Git, Dynatrace, Informatica, Databricks, Azure Synapse
Senior DevOps Engineer
Tata Consultancy Services @ GE Healthcare
Jun 2021 – Jan 2023 · 1 yr 7 mo
Full-stack platform modernization: from legacy on-prem to cloud-native Kubernetes.
Key Contributions:
  • Modernized legacy codebase and containerized applications for cloud deployment
  • Designed complete AWS infrastructure as Code with Terraform
  • Built CI/CD pipelines in GitHub Actions and Jenkins with automated testing
  • Automated deployment workflows with Ansible
  • Implemented full observability stack: monitoring, alerting, and centralized logging
  • Executed zero-downtime migration from on-prem → EC2 → Kubernetes
Tech: Linux, Bash, Docker, Docker Swarm, ECS, Kubernetes, Terraform, Ansible, AWS, Jenkins, GitHub Actions, Git, Prometheus, Grafana, Elastic Stack, Loki, Oracle Cloud, Lumen, VMware, Windows Servers
DevOps Engineer
EPAM Systems
Jan 2020 – Jun 2021 · 1 yr 6 mo
Infrastructure engineering for Verizon's large-scale smart city IoT platform.
Key Contributions:
  • Authored Infrastructure as Code using CloudFormation
  • Built CI/CD pipelines with Jenkins DSL for automated delivery
  • Implemented monitoring and logging for IoT-scale data ingestion
  • Executed phased migration: EC2 → ECS → EKS with zero downtime
Tech: Linux, Python, Bash, Docker, Kubernetes, Helm, Terraform, Ansible, AWS, Jenkins, Git, Prometheus, Grafana, Elastic Stack, Oracle Cloud, WordPress, Nginx, Traefik, Redis, Pandas, Numpy
Site Reliability Engineer
Oracle
Jan 2019 – Jan 2020 · 1 yr 1 mo
Founding member of a new SRE team building unified tooling for Oracle Cloud business units.
Key Contributions:
  • Developer & Product Owner for database monitoring tooling
  • Built and operated Oracle Cloud's public Status Page
  • Served on SRE Tiger Team for cross-product incident response
Tech: Linux, Python, Shell, Docker, Kubernetes, Terraform, Ansible

TECHNICAL SKILLS

Container & Orchestration: Kubernetes, Docker, Helm, ArgoCD, Kustomize, EKS, AKS, ECS, Docker Swarm

Infrastructure as Code: Terraform, Ansible, CloudFormation, Packer, Pulumi

CI/CD: GitHub Actions, GitLab CI, Jenkins, ArgoCD, GitOps

Cloud Platforms: AWS, Azure, GCP, Oracle Cloud, Cloudflare

Data Platform: Databricks, Kafka, Spark, Delta Lake, Iceberg, Azure Synapse, ADF, dbt, Airflow, PostgreSQL, Redis

Observability & SRE: Prometheus, Grafana, Loki, OpenTelemetry, Jaeger, ELK, Datadog, Dynatrace, Alertmanager

AI & Automation: OpenAI/Anthropic APIs, LangGraph, LangChain, RAG, Chroma/pgvector, MLflow, LLMOps, evals, Temporal, Celery

Languages & APIs: Python, Bash/Shell, FastAPI, SQL, YAML, JSON, Git, Linux, Keycloak/OAuth

EDUCATION

EPAM Systems
DevOps Academy – 2020
Budapest Business School
Business Administration and Management – 2015