Amitha Madala

About Amitha Madala

I’m a Cloud FinOps Engineer with 5+ years of experience helping organizations understand, control, and optimize their cloud spend across AWS, Azure, and GCP. My work sits at the intersection of engineering and finance. I focus on building cost visibility, improving unit economics, and enabling teams to make smarter, data-driven decisions. From designing tagless cost allocation models to developing real-time cost-per-transaction dashboards, I’ve worked on making cloud costs transparent and actionable at scale. Recently, I’ve been working on: Building automated cost allocation frameworks across multi-cloud and Kubernetes environmentsDeveloping pipelines to connect business metrics with cloud spendIdentifying and eliminating cost inefficiencies, including multi-million-dollar wasteTracking and optimizing AI/LLM spend across platforms like OpenAI and Vertex AI In my previous role, I led large-scale cloud modernization efforts migrating monolithic applications to microservices, implementing Kubernetes-based architectures, and reducing total cost of ownership significantly. I enjoy solving complex cost challenges, collaborating with cross-functional teams, and bringing clarity to cloud financials. Currently open to opportunities in Cloud FinOps, Cloud Cost Engineering, and related roles.

Experience

1. Cloud Finops Engineer

   CloudZero

   Jan 2025 — Present · MA, US

   Engineered CostFormation® YAML definitions to allocate shared AWS, GCP, and Kubernetes costs — achieving 98.5% cost allocation within 60 days without manual tagging- Developed Python AnyCost™ ingestion pipelines integrating business telemetry into cloud cost models, enabling real-time cost-per-transaction and per-user dashboards- Implemented Kubernetes multi-tenancy cost mapping, accurately assigning shared cluster costs and proportionally distributing system overhead across tenants- Built Snowflake query attribution pipelines via QUERY_HISTORY and QUERY_TAG metadata, identifying and removing $2.2M in orphaned resources- Created cost-control automation with GitHub Actions, correlating deployments to cost spikes and pinpointing root causes of 12% unexpected S3 cost increases- Designed LLM & AI spend tracking dimensions for OpenAI, Anthropic, and Vertex AI, integrating MCP servers for AI-driven cost insights- Delivered executive dashboards for per-customer and per-product margins, supporting CFO-level decision-making and strategic funding initiatives.

Education

• Texas A&M University-Kingsville

  Master's degree, Computer Science