Data integration and ETL for Power BI
A strong Power BI report starts with a solid data foundation. We build automated pipelines that clean, transform and load data from your source systems on time.
What we do
SSIS packages
Scheduled, logged ETL processes with SQL Server Integration Services for on-premises sources, with alerts on failure.
Azure Data Factory
End-to-end data integration for cloud and hybrid scenarios with pipelines, triggers and monitoring.
Dataflow Gen1 and Gen2
A Power Query-based data preparation layer in Power BI and Microsoft Fabric, shared by multiple reports.
Data warehouse and data marts
A reporting-ready structure with staging, warehouse and data mart layers on SQL Server, Azure SQL or Fabric.
Incremental loads
ETL that processes only changed data, plus Power BI incremental refresh for shorter refresh times.
Data quality checks
Checks that catch missing, duplicate and inconsistent records, and reconciliation between sources and reports.
The real goal: reliable Power BI reports
- Reports refreshed on schedule instead of manual data collection every morning
- ERP, CRM, e-commerce and Excel data combined into a single model
- Fast-refreshing Power BI models that don’t overload source systems
- Traceable pipelines that catch errors before they reach reports
Technologies we use
- SQL Server
- SSIS
- Azure Data Factory
- Microsoft Fabric
- Dataflow Gen2
- Azure SQL
- T-SQL
- Power Query
- REST API
Frequently asked questions
Didn’t find the answer you need? Send us your question and we’ll get back to you shortly.
Ask a questionShould we use SSIS, Azure Data Factory or Dataflows?
It depends on where your data lives, your data volume and your existing Microsoft stack. SSIS fits on-premises SQL Server environments, Azure Data Factory suits cloud and hybrid scenarios, and Dataflows work well for lighter transformations that analysts can own. Most projects combine them.
Can we use Power BI without a data warehouse?
Yes. For small setups with few sources, Power Query may be enough. As sources, data volume and users grow, a data warehouse or data mart makes a major difference in performance, consistency and maintainability.
Do you work with Microsoft Fabric?
Yes. We build Power BI data preparation with Fabric components such as Dataflow Gen2, Data Pipelines, Lakehouse and Warehouse.
Related services
Power BI Consulting
KPI analysis, data modeling, DAX, report design, RLS and Power BI Service architecture.
Learn morePerformance Optimization
We fix slow reports, long refreshes and numbers that don’t add up.
Learn moreMigration to Power BI
Migrating scattered, legacy reporting from Excel, SSRS or QlikView to Power BI.
Learn moreLet’s talk about what your data can do
In a short intro call we’ll listen to your needs and work out together where it makes sense to start with Power BI. The call is free.