Data Analysis & Data Engineering Power BI · DAX · Data Modeling

I turn your data into clear, reliable Power BI reports.

From data model to dashboard – end to end.

I help you design and build a solid Power BI foundation: clean data models, performant DAX, automated refreshes and well-structured workspaces. Together we create dashboards that decision makers can actually trust and use on a daily basis.

What I typically do in Power BI & data projects

  • Analyse reporting needs and design semantic data models that map your business logic correctly.
  • Build Power BI datasets using Power Query, DAX and proper star-schema modelling for performance and maintainability.
  • Connect to Azure and on-premises sources (e.g. SQL, files, APIs) and set up refresh pipelines and gateways.
  • Structure workspaces, permissions and deployment processes so Power BI fits into your governance and security requirements.

Requirements & KPI Design

Work with stakeholders to understand processes and KPIs, define metrics and translate them into a clear data model and reporting concept before any visuals are built.

Power BI Data Modeling & DAX

Design star-schema models, relationships and calculation logic using DAX—including measures, time intelligence and row-level security—for accurate and performant reporting.

Power Query & Data Preparation

Clean, transform and combine data with Power Query: handling source files, APIs and databases, creating reusable queries and applying best practices for incremental refresh where useful.

Data Engineering & Azure Sources

Integrate Power BI with Azure SQL, Azure Storage or Data Lake and, if needed, simple ETL processes so your reports are based on reliable, centralised data instead of scattered Excel files.

Dashboards, Storytelling & UX

Build intuitive report pages and dashboards with clear navigation, consistent visuals and meaningful interactions focused on real decision making, not just charts for the sake of charts.

Governance, Security & Operations

Set up workspaces, roles, row-level security, deployment pipelines, refresh monitoring and documentation so Power BI becomes a managed, long-term platform rather than one-off files.

Focus: Power BI-first data analytics – with just enough data engineering behind it to keep your reports fast, trustworthy and easy to maintain.

Power BI & Data Analytics

Power BI–first data analytics with clean models, performant DAX, and governed operations.

Presales & Scope Definition

Typically 1–2 Hours

Clarify reporting goals, KPIs, data sources, complexity, and governance requirements.

Requirements & KPI Design

Typically 1–2 Business Days

Work with stakeholders to define metrics, business logic, and reporting concepts before visuals are built.

Data Modeling & Semantic Layer

Typically 1–2 Business Days

Design star-schema models, relationships, and calculation logic for performance and maintainability.

Power BI DAX Engineering

Typically 1–2 Business Days

Implement measures, time intelligence, and row-level security using clean, auditable DAX.

Power Query & Data Preparation

Typically 1–2 Business Days

Clean, transform, and combine data from files, APIs, databases, and on-prem sources.

Data Engineering & Azure Sources

Typically 1–2 Business Days

Integrate Power BI with Azure SQL, Storage, or Data Lake and implement lightweight ETL where required.

Dashboards, Storytelling & UX

Typically 1–2 Business Days

Build intuitive dashboards with clear navigation, consistent visuals, and decision-focused interactions.

Governance, Security & Operations

Typically 1 Business Day

Workspaces, permissions, RLS, deployment pipelines, refresh monitoring, and documentation.

Handover 

Typically 1 Business Day

Documentation, knowledge transfer, and enablement for IT and business users.