Versatile and results-driven Data and DevOps Engineer with 5+ years of experience architecting cloud-native data platforms using Airflow, Kubernetes, Python, and async Flask APIs. Proven track record of automating scalable pipelines, enabling real-time data streaming with Kafka and NATS, and driving observability with Prometheus/Grafana. Delivered production-grade systems in high-pressure environments like TSMC using Docker, Helm, and Azure DevOps. Passionate about solving complex data problems through resilient architecture and automation. Actively seeking impactful roles to bring end-to-end DevOps and Data engineering excellence.