Senior-level expertise in backend services and data engineering using Python Hands-on experience with cloud infrastructure (Kubernetes/Docker) and data services (GCP, AWS, or Azure) Proven track record building production data pipelines and backend services with measurable business impact Experience working in large codebases with focus on refactoring and systematic improvements Background building scalable data monitoring and observability systems