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Technical consulting

Solutions for data that supports decisions

Each card describes the problem, how I work and the expected outcome. Scopes can be combined: lakehouse, pipelines, BI and governance often go together.

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Data structuring for decision-making

I turn business questions into reliable metrics, the right grain, and an analytical narrative that supports executive committees.

Audience

Leadership, controllership, and business heads who need aligned indicators before scaling technology.

Deliverables

  • KPI map and initial dictionary
  • Data model / measure prototype
  • Evolution plan (data + visuals)
Solution details →

Pipeline engineering and data ingestion

Incremental pipelines, source contracts, and minimum observability: Fabric, notebooks, or equivalent stack.

Audience

Data and engineering teams supporting corporate analytics and BI.

Deliverables

  • Pipeline and dependency design
  • Implementation and operational documentation
  • Quality checklist per stage
Solution details →

Lakehouse implementation on Microsoft Fabric

OneLake, domain-based lakehouse structure, PySpark notebooks, and BI publishing with lightweight, repeatable governance.

Audience

Data architects, analytics engineers, and modernization sponsors.

Deliverables

  • Lakehouse blueprint and conventions
  • First end-to-end domain (MVP)
  • Notebook operations and best-practices guide
Solution details →

Executive and operational dashboards

Dashboards tied to real decisions: visual hierarchy, agreed KPIs, and performance that supports daily use.

Audience

Leaders and analysts who need a single north-star view per topic (finance, operations, commercial).

Deliverables

  • Validated prototype + semantic model
  • Publishing with performance standards
  • Short interpretation guide for users
Solution details →

Data-driven process automation

Approval, alert, and task orchestration connecting Power Platform (and other sources) to your BI/data ecosystem.

Audience

Operations, finance, and teams living with manual handoffs between spreadsheets and systems.

Deliverables

  • Target flow design
  • Implementation in Power Automate / Apps (when appropriate)
  • Simple gain metrics (time, error)
Solution details →

Data governance and organization

Practical standards: lean inventory, publishing policies, performance and security without unproductive bureaucracy.

Audience

Centers of excellence, corporate IT, and data leadership.

Deliverables

  • Ownership and criticality matrix
  • Standards guide (naming, datasets, capacities)
  • Quarterly review plan
Solution details →

Analytics maturity assessment

Objective reading of people, processes, data, and technology, with a roadmap prioritized into quick wins and foundations.

Audience

Leadership and sponsors who need an independent second opinion before scaling budget.

Deliverables

  • Findings and risk report
  • Prioritized backlog (value vs effort)
  • Suggested follow-up metrics
Solution details →