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Nicolas G.NG

Nicolas G.

FinOps Certified | Azure & AWS | Data Engineer

EUR 900/Tag
Zurich, CH
3-7 Jahre

Durchschnittliche Reaktionszeit: 1h

Über Nicolas

I help organizations cut costs by up to 83% while building scalable FinOps governance.

I specialize in transforming cloud financial management from reactive cost control into strategic business enablement.

Recent impact: Recovered CHF 200k through automated billing verification across millions in monthly spend. Enabled CHF 300k+ in savings by providing senior management with actionable insights on optimization levers. Achieved 32-83% cost reductions through reservation optimization, right-sizing, and architectural improvements across healthcare, finance, sports, and telecom sectors.

I build the infrastructure that makes FinOps operational, not PowerPoint recommendations. From ETL pipelines aggregating multi-cloud costs to FOCUS-compliant reporting dashboards, I deliver solutions that finance, engineering, and leadership teams actually use.

Core capabilities:

FinOps governance & reporting: Chargeback/showback automation, FOCUS implementation, shadow IT discovery (CHF 10k+/month uncovered)

Cost optimization at scale: Managed 500+ commitments (Reserved Instances, Savings Plans) worth CHF 900k/year with automated coverage tracking

Billing verification: Automated invoice validation pipelines processing millions in monthly consumption

Multi-cloud analytics: FOCUS FinOps Dashboard, Power BI dashboards, tailored to relevant audiences

Azure & AWS optimization: Reservations, Savings Plans, Hybrid Benefits, VM scale sets, spot instances, Fabric/Synapse/ADF rationalization


Fluent in French, English, Italian, and Portuguese, I support complex, regulated cloud transformations across Europe

Ready to unlock your cloud ROI? Let's discuss how FinOps can turn your cloud costs into a competitive advantage.
  • Italienisch

    Muttersprachlich oder zweisprachig

  • Portugiesisch

    Muttersprachlich oder zweisprachig

  • Französisch

    Muttersprachlich oder zweisprachig

  • Englisch

    Muttersprachlich oder zweisprachig

Vor Ort möglich
Zurich (bis zu 50 km), Geneva (bis zu 20 km), Lausanne (bis zu 20 km), Bern (bis zu 20 km), Zug (bis zu 20 km)

Projekt- und Berufserfahrung

  • nOps
    Azure Commitment Automation
    Dezember 2025 - Februar 2026 (2 Monate)
    • Built an AI-ready data layer for an automated Azure Commitment Management system on Databricks with Medallion architecture. Aggregating cross-tenant data with a multi-tenant app, fetching Azure Monitor Metrics to transform Daily FOCUS exports into hourly cost and usage data.
    • Designed and tested a multi-tenant app architecture using the least-privileged RBAC roles for commitment management and optimization.
    Microsoft Azure Databricks Artificial Intelligence (AI)
  • Gunvor
    83% Azure Data Factory & IaaS Cost Reduction
    April 2025 - Juni 2025 (2 Monate)
    • Achieved 83% total data platform cost reduction (ADF + Synapse + Fabric) through pipeline rationalization, re-architecting ETL workflows with consolidated Python-based jobs to eliminate ADF activity execution overhead, optimizing refresh intervals based on actual business requirements, instance right-sizing, and commitment optimization.

    • Delivered IaaS optimization strategy, reducing cost by 35% through VM rightsizing, spot instance policies, and reserved instance optimization. Working with infrastructure, business and leadership teams to implement changes with zero downtime.
    Microsoft Azure Cloud computing FinOps Azure Data Factory Databricks
  • Nova Marine Carrier
    58% Microsoft Fabric Cost Optimization
    April 2025 - Juni 2025 (2 Monate)
    • In-depth audit of Microsoft Fabric-related expenses and identification of optimization levers.
    • 58% cost reduction in one month by optimizing reservations and aligning resource provisioning with actual needs.
    Microsoft Fabric FinOps

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Ausbildung und Abschlüsse

  • Bachelors & Master of Science in Robotics & Machine Learning
    Ecole Polytechnique Fédérale de
    Bachelors & Master of Science in Robotics & Machine Learning

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