Available for Power BI projects — KPIs, modeling, performance

Power BI dashboards leadership actually uses.

I help companies unify data, define KPIs, and build fast, reliable Power BI reporting. From an MVP in days to long-term model development and governance.

Power BI KPI Framework Data Modeling SQL DAX Data Quality Management Reporting
Transparent scope → clear milestones → handover with documentation.
Best fit

Companies with data in ERP/CRM/Excel/SQL who want one source of truth for decision-making.

Common problems I fix

KPI chaos, inconsistent reporting, slow dashboards, manual weekly exports, unclear metric definitions.

Outcome

Model + metrics + dashboards. Executive overview + operational drilldowns.

Services

Pure BI: dashboards, KPI definitions, robust modeling, and a reliable SQL reporting layer.

Power BI Dashboards

Executive dashboards, operational reporting, drilldowns, RLS, performance tuning, and clear visual design.

Executive-readyRLSPerformance

KPI & Data Model

Metric definitions, data dictionary, star schema, and a single version of truth across teams.

Star schemaGovernanceKPI dictionary

SQL Reporting Layer

Views / stored procedures, validation rules, data quality checks, and stable datasets for BI.

SQL ServerPostgresData quality

Deliverables

No slides. Concrete outputs your team uses every week.

Executive KPI Dashboard

Top KPIs in one view with drilldowns for details. Clear signals on where to act.

KPI overviewDrilldownsAlerts-ready

KPI Framework & Dictionary

Consistent metric definitions, ownership, calculation rules, and documentation across departments.

One definitionOwnershipDocumentation

Data Model + Performance

A model that scales with the business: fewer broken reports, fast visuals, clean DAX and refresh strategy.

ModelingDAXRefresh

Packages

Clear offers = faster start. Pricing depends on scope and data sources.

MVP Dashboard

1–2 weeks
  • 6–10 KPIs, 1–2 data sources
  • core model + metric definitions
  • refresh + basic documentation

KPI Audit

3–5 days
  • KPI audit + definitions (what is “correct”)
  • model & reporting layer proposal
  • roadmap + quick wins

BI Foundation

2–6 weeks
  • model + SQL layer + dashboards
  • data quality + governance rules
  • handover + growth plan

Process

No surprises. You see progress early and often.

1

Kickoff

Goals, KPIs, data sources, users, refresh. Quick audit + plan.

2

MVP

First working version fast: core KPIs, model, initial dashboards.

3

Iterate

Short feedback cycles, performance tuning, and expansion.

4

Handover

Documentation, training, and next-step recommendations.

Want a Power BI dashboard? Send me 5 lines on LinkedIn.

Fastest way to estimate scope and propose the right approach:

  1. Area (sales / finance / operations)
  2. Data sources (ERP / CRM / Excel / SQL / other)
  3. Users + roles (leadership / operations)
  4. Deadline
  5. Refresh (daily / weekly / monthly)