Cloud Engineer focused on designing, deploying, and operating reliable, scalable, and cost-efficient distributed systems across multi-cloud environments (AWS, Microsoft Azure, and GCP).
I combine Infrastructure as Code (Terraform), configuration management (Ansible), container orchestration, and automated pipelines with data platform integration and system-level administration to ensure resilient cloud operations.
- CloudOps & FinOps: Managing multi-cloud workloads with an emphasis on cost optimization and resource allocation, achieving a 79% AWS monthly spend reduction on EKS architectures.
- Containers & Scalability: Deploying microservices with Kubernetes and Helm, implementing Horizontal Pod Autoscalers (HPA) to dynamically handle operational load.
- Infrastructure Automation & DevSecOps: Automated provisioning and configuration via Terraform and Ansible, accompanied by declarative GitOps pipelines using Argo CD, GitHub Actions, Jenkins, SonarQube, and Trivy.
- Data Engineering & Cloud Platforms: Implementing ETL/ELT pipelines, streaming architectures, and lakehouses using GCP data services (Dataflow, BigQuery, Dataplex, Pub/Sub), Apache Airflow, and Apache Spark.
GCP Data Ecosystem: Cloud Dataflow (ETL/ELT) • Cloud Dataplex (Lakehouse Governance) • Cloud Pub/Sub (Streaming)
