FinOps leader specializing in technical cost optimization and long-term FinOps adoption through stakeholder engagement and upskilling.
Aktualisiert am 10.02.2026
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 10.02.2026
Verfügbar zu: 100%
davon vor Ort: 100%
Finops
Cloud
Forecasting
? Cost Optimization: Rightsizing
Waste Elimination
Storage Lifecycle Policies ? Rate Optimization: Reservations
Savings Plans
Hybrid Benefit (AHB)
Spot ? Financial Analysis: Unit Economics
Unit Economics
? Allocation & Chargeback: Tagging Strategies
Showback Models
Shared Cost Allocation
? Process Design: Anomaly Detection
Budget Alerting
Invoice Reconciliation ? Data Standards: FOCUS (FinOps Open Cost & Usage Specification)
Medallion
? Data Analysis: Python (Pandas)
SQL
PySpark
ETL Pipeline Design
Databricks
French
Muttersprache
English
fluent
Italian
fluent
Portuguese
intermediate
German
intermediate

Einsatzorte

Einsatzorte

Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

2025 ? today: Leads technical and strategic FinOps engagements

Role: Partner FinOps & Data
Customer: Spare Consulting


Tasks:
Leads technical and strategic FinOps engagements, delivering stakeholder-ready reporting, governance frameworks, and training for sustainable adoption



2025?2026: Azure commitment automation foundation

Customer: SaaS Company


Tasks:

  • Designed an Azure commitment automation foundation by building a Databricks Medallion data layer that converts daily FOCUS exports into hourly cost/usage via Azure Monitor Metrics
  • validated least-privilege RBAC for cross-tenant commitment optimization
2024 ? 2025: Modernized a multi-cloud cost data platform
Place of Work: Zürich, Switzerland
Role: FinOps Practitioner
Customer: Swisscom

Tasks:
  • Modernized a multi-cloud cost data platform (processing 5M daily records from Azure/AWS) by migrating to FOCUS schema and Parquet, driving a 70% infrastructure cost reduction
  • established self-service analytics with role-specific Power BI dashboards, achieving 85% stakeholder adoption within 2 months through trainings, workshops, and evangelism
  • Developed an automated billing verification and chargeback system (USD 2.5M+ monthly spend)
  • recovered CHF 500k+ in unbilled/shadow IT/billing errors
  • implemented commitment governance for 800+ reservations (alerts, utilization, renewals)

2025 - 2025: Delivered 47% cost reduction and raised reservation coverage

Customer: Healthcare Group (2?000+ employees)


Tasks:

Delivered 47% cost reduction and raised reservation coverage from 0% to 80% through precise baselining and license optimization

established chargeback governance for 5 subsidiaries and remediated a critical 170% Defender for Cloud cost increase anomaly


2025 - 2025: Quantified and baselined 83% data platform and 35% IaaS cost reductions

Customer: Finance Group


Tasks:

Quantified and baselined 83% data platform and 35% IaaS cost reductions by rationalizing pipeline and aligning frequency with business requirements

delivered a documented target-state roadmap and facilitated workshops to secure leadership buy-in for structural architectural changes


2025 - 2025: Delivered 58% cost reduction on Azure

Customer: Industry


Tasks:

  • Delivered 58% cost reduction on Azure by identifying reservation gaps and rightsizing actions
  • proposed a ?quick wins + roadmap? pack including a Fabric spend audit within the first week


2025 - 2025: Delivered 16% savings via VM rightsizing and commitments optimization

Customer: Public Administration (150 institutions)


Tasks:

Delivered 16% savings via VM rightsizing and commitments optimization

facilitated workshops to design a shared-cost chargeback framework, documenting dispute governance, and achieving 99%+ automated attribution accuracy with broad stakeholder adoption


2025 - 2025: Delivered a rapid FinOps maturity assessment

Customer: International Sports Federation


Tasks:

  • Delivered a rapid FinOps maturity assessment and validated Azure cost baseline, resulting in 32% VM cost reduction through rightsizing and commitments
  • redesigned chargeback governance
  • ran stakeholder workshops and documented transparency rules and reporting for budget accountability

2019 ? 2023: Built commercial/finance delivery operations
Place of Work: Lausanne, Switzerland
Role: Chief Business Officer
Customer: CompPair Technologies

Tasks:
  • Built commercial/finance delivery operations and tooling (CRM/ERP/project stack), owned P&L and financial models, and led cross-functional stakeholder management for customer and internal transformation initiatives
  • Led Financial Planning and Analysis (FP&A), billing, and accounting for multi-million budgets
02/2020 ? 09/2020: Developed and deployed computer vision models
Place of Work: Singapore
Role: Computer Vision Engineer Intern
Customer: Transforma Robotics

Tasks:
Developed and deployed computer vision models for crack detection with rigorous evaluation and stakeholder-ready reporting of performance and trade-offs
06/2019 ? 09/2019: Pre-Sales Data Science Intern
Place of Work: São Paulo, Brazil
Customer: Capgemini

Tasks:
Built AI prototypes (chatbots, emotion recognition) and delivered client demos, translating technical outcomes into business value

09/2018 ? 06/2019: Conducted market research and supported executive proposals

Place of Work: Lausanne, Switzerland
Role: AI Solutions Analyst
Customer: Visium

Tasks:
Conducted market research and supported executive proposals with clear positioning, ROI narratives, and stakeholder communication.

Aus- und Weiterbildung

Aus- und Weiterbildung

Microengineering, Robotics, and Machine Learning
Bachelor?s and Master's degrees
Ecole Polytechnique Fédérale de Lausanne (EPFL)


Certification:
  • FinOps: FinOps Certified FOCUS Analyst | FinOps Certified Practitioner | FinOps for Container Certification | FinOps for AI Certification |FinOps Certified Service Provider | FinOps Certified Training Provider
  • Cloud: AZ-900 Microsoft Certified: Azure Fundamentals | Certified Databricks Lakehouse Fundamentals Certified AWS Solutions Architect |
  • Project: Project Management Professional (PMP PMI) | Certified lean Six Sigma yellow Belt

Position

Position

  • Azure FinOps Expert
  • Cloud Cost Optimization Specialist

Kompetenzen

Kompetenzen

Top-Skills

Finops Cloud Forecasting ? Cost Optimization: Rightsizing Waste Elimination Storage Lifecycle Policies ? Rate Optimization: Reservations Savings Plans Hybrid Benefit (AHB) Spot ? Financial Analysis: Unit Economics Unit Economics ? Allocation & Chargeback: Tagging Strategies Showback Models Shared Cost Allocation ? Process Design: Anomaly Detection Budget Alerting Invoice Reconciliation ? Data Standards: FOCUS (FinOps Open Cost & Usage Specification) Medallion ? Data Analysis: Python (Pandas) SQL PySpark ETL Pipeline Design Databricks

Produkte / Standards / Erfahrungen / Methoden

Profile:

  • FinOps leader specializing in rapid cost optimization and driving long-term FinOps adoption through stakeholder engagement and upskilling
  • Proven ability to build consensus across technical and finance teams to execute time-boxed assessments, quantify waste (CHF 500k+), and deliver 30-50% immediate savings
  • Combines strategic roadmap delivery with technical implementation (governance, automation) and certified training to ensure sustainable financial accountability and lasting organizational change


CORE SKILLS:

  • Cost Optimization: Rightsizing, Waste Elimination, Storage Lifecycle Policies
  • Rate Optimization: Reservations, Savings Plans, Hybrid Benefit (AHB), Spot
  • Financial Analysis: Unit Economics, Forecasting, Budgeting, Variance Analysis
  • Assessment Frameworks: FinOps Maturity Modeling, Capability Gap Analysis, KPIs
  • Allocation & Chargeback: Tagging Strategies, Showback Models, Shared Cost Allocation
  • Cloud Governance: Policy-Based Management, Role-Based Access Control (RBAC)
  • Process Design: Anomaly Detection, Budget Alerting, Invoice Reconciliation
  • Data Standards: FOCUS (FinOps Open Cost & Usage Specification), Medallion
  • Data Analysis: Python (Pandas), SQL, PySpark, ETL Pipeline Design, Databricks
  • Visualization: Power BI (DAX), Dashboard Design, Reporting Automation
  • Cloud Platforms: Azure, AWS Cost Explorer, Databricks, Snowflake


TOOLS & TECHNOLOGIES:

FinOps | Azure | AWS | GCP |Python | SQL | Data Engineering & Analysis | ETL development | Power BI | Artificial Intelligence (AI) | Machine Learning


KEY ACHIEVEMENTS:

  • Recovered CHF 500k+ in unbilled costs and billing errors through automated reconciliation and baseline validation
  • Delivered 58% cost reduction in a 20-day rapid engagement through commitments and rightsizing actions tied to a validated baseline
  • Identified 83% savings potential in Azure Databricks platform costs through deep-dive maturity assessment and workflow optimization
  • Increased reservation coverage from 0% to 80% and achieved 47% VM cost reduction for a 2?000+ employee healthcare organization
  • Implemented self-service cost reporting and enablement, driving 85% active adoption of dashboards and operating practices

Einsatzorte

Einsatzorte

Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

2025 ? today: Leads technical and strategic FinOps engagements

Role: Partner FinOps & Data
Customer: Spare Consulting


Tasks:
Leads technical and strategic FinOps engagements, delivering stakeholder-ready reporting, governance frameworks, and training for sustainable adoption



2025?2026: Azure commitment automation foundation

Customer: SaaS Company


Tasks:

  • Designed an Azure commitment automation foundation by building a Databricks Medallion data layer that converts daily FOCUS exports into hourly cost/usage via Azure Monitor Metrics
  • validated least-privilege RBAC for cross-tenant commitment optimization
2024 ? 2025: Modernized a multi-cloud cost data platform
Place of Work: Zürich, Switzerland
Role: FinOps Practitioner
Customer: Swisscom

Tasks:
  • Modernized a multi-cloud cost data platform (processing 5M daily records from Azure/AWS) by migrating to FOCUS schema and Parquet, driving a 70% infrastructure cost reduction
  • established self-service analytics with role-specific Power BI dashboards, achieving 85% stakeholder adoption within 2 months through trainings, workshops, and evangelism
  • Developed an automated billing verification and chargeback system (USD 2.5M+ monthly spend)
  • recovered CHF 500k+ in unbilled/shadow IT/billing errors
  • implemented commitment governance for 800+ reservations (alerts, utilization, renewals)

2025 - 2025: Delivered 47% cost reduction and raised reservation coverage

Customer: Healthcare Group (2?000+ employees)


Tasks:

Delivered 47% cost reduction and raised reservation coverage from 0% to 80% through precise baselining and license optimization

established chargeback governance for 5 subsidiaries and remediated a critical 170% Defender for Cloud cost increase anomaly


2025 - 2025: Quantified and baselined 83% data platform and 35% IaaS cost reductions

Customer: Finance Group


Tasks:

Quantified and baselined 83% data platform and 35% IaaS cost reductions by rationalizing pipeline and aligning frequency with business requirements

delivered a documented target-state roadmap and facilitated workshops to secure leadership buy-in for structural architectural changes


2025 - 2025: Delivered 58% cost reduction on Azure

Customer: Industry


Tasks:

  • Delivered 58% cost reduction on Azure by identifying reservation gaps and rightsizing actions
  • proposed a ?quick wins + roadmap? pack including a Fabric spend audit within the first week


2025 - 2025: Delivered 16% savings via VM rightsizing and commitments optimization

Customer: Public Administration (150 institutions)


Tasks:

Delivered 16% savings via VM rightsizing and commitments optimization

facilitated workshops to design a shared-cost chargeback framework, documenting dispute governance, and achieving 99%+ automated attribution accuracy with broad stakeholder adoption


2025 - 2025: Delivered a rapid FinOps maturity assessment

Customer: International Sports Federation


Tasks:

  • Delivered a rapid FinOps maturity assessment and validated Azure cost baseline, resulting in 32% VM cost reduction through rightsizing and commitments
  • redesigned chargeback governance
  • ran stakeholder workshops and documented transparency rules and reporting for budget accountability

2019 ? 2023: Built commercial/finance delivery operations
Place of Work: Lausanne, Switzerland
Role: Chief Business Officer
Customer: CompPair Technologies

Tasks:
  • Built commercial/finance delivery operations and tooling (CRM/ERP/project stack), owned P&L and financial models, and led cross-functional stakeholder management for customer and internal transformation initiatives
  • Led Financial Planning and Analysis (FP&A), billing, and accounting for multi-million budgets
02/2020 ? 09/2020: Developed and deployed computer vision models
Place of Work: Singapore
Role: Computer Vision Engineer Intern
Customer: Transforma Robotics

Tasks:
Developed and deployed computer vision models for crack detection with rigorous evaluation and stakeholder-ready reporting of performance and trade-offs
06/2019 ? 09/2019: Pre-Sales Data Science Intern
Place of Work: São Paulo, Brazil
Customer: Capgemini

Tasks:
Built AI prototypes (chatbots, emotion recognition) and delivered client demos, translating technical outcomes into business value

09/2018 ? 06/2019: Conducted market research and supported executive proposals

Place of Work: Lausanne, Switzerland
Role: AI Solutions Analyst
Customer: Visium

Tasks:
Conducted market research and supported executive proposals with clear positioning, ROI narratives, and stakeholder communication.

Aus- und Weiterbildung

Aus- und Weiterbildung

Microengineering, Robotics, and Machine Learning
Bachelor?s and Master's degrees
Ecole Polytechnique Fédérale de Lausanne (EPFL)


Certification:
  • FinOps: FinOps Certified FOCUS Analyst | FinOps Certified Practitioner | FinOps for Container Certification | FinOps for AI Certification |FinOps Certified Service Provider | FinOps Certified Training Provider
  • Cloud: AZ-900 Microsoft Certified: Azure Fundamentals | Certified Databricks Lakehouse Fundamentals Certified AWS Solutions Architect |
  • Project: Project Management Professional (PMP PMI) | Certified lean Six Sigma yellow Belt

Position

Position

  • Azure FinOps Expert
  • Cloud Cost Optimization Specialist

Kompetenzen

Kompetenzen

Top-Skills

Finops Cloud Forecasting ? Cost Optimization: Rightsizing Waste Elimination Storage Lifecycle Policies ? Rate Optimization: Reservations Savings Plans Hybrid Benefit (AHB) Spot ? Financial Analysis: Unit Economics Unit Economics ? Allocation & Chargeback: Tagging Strategies Showback Models Shared Cost Allocation ? Process Design: Anomaly Detection Budget Alerting Invoice Reconciliation ? Data Standards: FOCUS (FinOps Open Cost & Usage Specification) Medallion ? Data Analysis: Python (Pandas) SQL PySpark ETL Pipeline Design Databricks

Produkte / Standards / Erfahrungen / Methoden

Profile:

  • FinOps leader specializing in rapid cost optimization and driving long-term FinOps adoption through stakeholder engagement and upskilling
  • Proven ability to build consensus across technical and finance teams to execute time-boxed assessments, quantify waste (CHF 500k+), and deliver 30-50% immediate savings
  • Combines strategic roadmap delivery with technical implementation (governance, automation) and certified training to ensure sustainable financial accountability and lasting organizational change


CORE SKILLS:

  • Cost Optimization: Rightsizing, Waste Elimination, Storage Lifecycle Policies
  • Rate Optimization: Reservations, Savings Plans, Hybrid Benefit (AHB), Spot
  • Financial Analysis: Unit Economics, Forecasting, Budgeting, Variance Analysis
  • Assessment Frameworks: FinOps Maturity Modeling, Capability Gap Analysis, KPIs
  • Allocation & Chargeback: Tagging Strategies, Showback Models, Shared Cost Allocation
  • Cloud Governance: Policy-Based Management, Role-Based Access Control (RBAC)
  • Process Design: Anomaly Detection, Budget Alerting, Invoice Reconciliation
  • Data Standards: FOCUS (FinOps Open Cost & Usage Specification), Medallion
  • Data Analysis: Python (Pandas), SQL, PySpark, ETL Pipeline Design, Databricks
  • Visualization: Power BI (DAX), Dashboard Design, Reporting Automation
  • Cloud Platforms: Azure, AWS Cost Explorer, Databricks, Snowflake


TOOLS & TECHNOLOGIES:

FinOps | Azure | AWS | GCP |Python | SQL | Data Engineering & Analysis | ETL development | Power BI | Artificial Intelligence (AI) | Machine Learning


KEY ACHIEVEMENTS:

  • Recovered CHF 500k+ in unbilled costs and billing errors through automated reconciliation and baseline validation
  • Delivered 58% cost reduction in a 20-day rapid engagement through commitments and rightsizing actions tied to a validated baseline
  • Identified 83% savings potential in Azure Databricks platform costs through deep-dive maturity assessment and workflow optimization
  • Increased reservation coverage from 0% to 80% and achieved 47% VM cost reduction for a 2?000+ employee healthcare organization
  • Implemented self-service cost reporting and enablement, driving 85% active adoption of dashboards and operating practices

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