Cloud FinOps Engineer - Cloud Cost Optimization Expert

Amitha Madala Cloud FinOps Engineer

USA +1-346-***-**** *************@*****.*** LinkedIn

SUMMARY

Cloud FinOps Engineer with 3+ years of experience improving cloud cost visibility, optimization, and financial accountability across healthcare platforms in the United States and India. Skilled in cost allocation, tagging governance, waste reduction, and spend reporting across AWS and Azure environments. Works closely with engineering and finance teams to improve budgeting accuracy, strengthen cost transparency, and promote efficient cloud consumption.

CORE SKILLS

Cloud FinOps & Cost Management: Cloud Cost Optimization • Cloud Financial Management • FinOps Fundamentals • Budget Tracking & Forecast Support

Cost Allocation & Governance: Cost Allocation & Tagging Strategy • Showback & Chargeback Support • Tagging Compliance • Governance Support Cloud Cost Tools & Optimization: Azure Cost Management • AWS Cost Explorer • Savings Plans & Reserved Instances • Resource Rightsizing Monitoring & Automation: Cloud Spend Monitoring • Waste Reduction Automation • CI/CD Cost Awareness Reporting & Analytics: Power BI Dashboards • Spend Trend Analysis Collaboration & Operations: Cross-Functional Collaboration TOOLS & TECHNOLOGIES

Cloud Platforms: AWS, Azure

FinOps Tools: Azure Cost Management, AWS Cost Explorer, Cloud Health / Cloud ability Monitoring: Azure Monitor, AWS CloudWatch

Automation: Python, PowerShell, Azure Automation, AWS Lambda Visualization: Power BI, Excel

DevOps: Git, Azure DevOps, Jenkins

Governance: Tagging policies, RBAC basics

PROFESSIONAL EXPERIENCE

Cloud FinOps Engineer Elevance Health, TX, USA

Jan 2025 - Present

Support cloud financial operations and cost transparency initiatives for enterprise healthcare platforms.

Implemented cost allocation and tagging standards, improving spend attribution accuracy to 95%+ and enabling clearer chargeback reporting.

Enhanced Power BI and Azure Cost Management dashboards, improving visibility into spend trends across 40+ applications.

Identified underutilized compute and storage resources and supported rightsizing initiatives contributing to 18–22% cost reduction.

Monitored spend patterns and flagged anomalies, reducing response time to unexpected cost spikes by 60%.

Assisted in evaluating Savings Plans and Reserved Instances strategies, improving cost predictability and lowering on-demand usage.

Automated shutdown scheduling for non-production environments, reducing idle resource waste by 30–35%.

Boosted tagging compliance by working with engineering teams to embed cost-aware deployment practices.

Helped monthly forecasting and budget tracking using historical usage trends and variance analysis.

Partnered with finance stakeholders to improve cost reporting clarity and support show back practices.

Reinforced governance standards that promote cost accountability and responsible cloud usage. Cloud Engineer Cloud Cost Optimization Specialist CitiusTech, India Aug 2021 - Aug 2023

Developed cloud infrastructure expertise and supported cost optimization efforts for healthcare analytics platforms.

Aided AWS & Azure environments hosting HIPAA-compliant analytics workloads.

Reduced compute waste by 25–30% through utilization monitoring and resource rightsizing.

Implemented tagging practices improving cost tracking accuracy and project-level billing transparency.

Built cost and utilization reports enabling teams to understand usage patterns and improve efficiency.

Identified idle resources and unattached storage contributing to $200K+ annual cost savings.

Assisted in recommending Savings Plans strategies reducing compute costs by ~18% annually.

Optimized storage lifecycle policies lowering long-term storage costs by 20–25%.

Assisted multi-account billing visibility and spend reporting improvements.

Collaborated with delivery and finance teams to promote cost awareness and responsible cloud usage.

Encouraged cost-efficient resource lifecycle management across DevOps workflows. EDUCATION

Masters in Computer Science Texas A&M University - Texas, USA May 2025 CERTIFICATION

AWS Certified Cloud Practitioner (CLF-C01) - Amazon Getting Started with Cloud Acquisition - Amazon Python for Data Science - IBM Python Programming - Udemy SQL for Data Analysis - Udemy PROJECTS

Vision Stack - Business Growth Analytics Platform Academic Project May 2025

Built a PySpark pipeline to process large customer and product datasets, improving data accuracy and readiness for KPI reporting.

Expanded performance KPIs and trend analyses to support business planning and operational decision-making.

Designed reporting outputs that simplified complex datasets into actionable insights for growth evaluation. Happify - User Engagement & Usage Analytics Mini Project Apr 2024

Analyzed user activity data to identify engagement patterns across application features and user journeys.

Enhanced structured reporting views to summarize usage trends and feature adoption over time.

Highlighted behavioral insights to support data-driven product improvement decisions.

Contact this candidate