August 2025 monthly summary focusing on business value and technical delivery across two core Dataproc deployment tools. Delivered cross-repo Dataproc cluster_tier support in Terraform (Magic Modules) and Airflow (Dataproc ClusterGenerator), enabling consistent performance-tier control and improved cost management for customer workloads. Implementations include schema additions, config expansion/flattening updates, and integration tests to ensure end-to-end reliability. No major bugs fixed this month; all work centers on feature enhancements that align with client use cases and operational readiness. Overall impact: higher deployment fidelity, faster time-to-value for Dataproc workloads, and stronger alignment between Terraform and Airflow tooling. Technologies/skills demonstrated: Terraform schema/config evolution, Go/Python integration, test-driven validation, Dataproc cost/performance tier modeling, and cross-team collaboration across Magic Modules and Airflow repositories.