Leads a data engineering team that builds scalable big data applications and ETL workflows. Oversees data quality, security, privacy, architecture, documentation, and operational efficiency. Develops reusable Python and SQL code for data warehouses, distributed processing, cloud platforms, and data-driven solutions. Collaborates with application architects, development teams, project teams, and business stakeholders while supervising team activities and meeting project priorities.

Design, build, and operate an internal developer platform across AWS and GCP. Lead Backstage developer portal development, Kubernetes and IaC foundations (Terraform, Crossplane), CI/CD pipelines (GitLab CI/CD), artifact management (JFrog), and observability (Datadog). Drive automation, GitOps, SRE practices, DevSecOps, troubleshooting, and developer experience improvements while collaborating with engineering teams.

Design, build, and operate a multi-cloud (AWS/GCP) internal developer platform. Develop Kubernetes and IaC foundations, Backstage portal/plugins, CI/CD pipelines, automation, observability (Datadog), and SRE practices. Drive developer self-service, platform reliability, security, and operational best practices across engineering teams.