I'm Behnia, a developer in Vienna with more than ten years in data. Here is my work on Microsoft Azure and Power BI: data platforms, models people trust and reports they read at a glance.
How I build on Azure, Microsoft Fabric and Power BI, and the courses and talks I give user groups and meetups, all of them free.
Data comes in through Azure, is made right in Microsoft Fabric and is read in Power BI. I work on every step, from the source to the report.
Pipelines on Azure that bring data together from every system it is made in, load only what changed and run every night with nobody watching.
Works withOne lake for all of it: a lakehouse in bronze, silver and gold, notebooks and pipelines that move data between the layers, and checks that stop bad rows early.
Works withSemantic models with every KPI defined once in DAX, and reports a manager reads at a glance, in colours that work for everyone.
Works withExams passed with Microsoft and GitHub, from Fabric and Power BI to two Experts: Azure Solutions Architect and Agentic AI Business Solutions Architect.
Each pattern is a problem every data platform meets, the build that solves it and the Microsoft services it runs on. Together they go from the source to the report: loading data in Azure, making it right in Fabric and reading it in Power BI. Pick one to see how it is built.
A control table lists each source table with its key and when it was last loaded. One parameterised pipeline reads that list and copies every table in turn, so a new table is a new row, not a new pipeline.
The model at the top of this site: data lands in bronze as it arrived, is cleaned and joined in silver and is shaped for reports in gold, all in OneLake as open Delta tables.
Each KPI is one measure in the semantic model, with a description and a format, so every report shows the same number. Year to date and last year come from one calculation group instead of a copy per KPI.
6 open courses on the three platforms: every lesson is on the site, to read and build along in your own workspace. 5 more are on the way.
One Azure Data Factory pipeline that copies every table a control table lists, and from the second run on only the rows that changed.
Start the course3 lessons · 11 minBronze, silver and gold in a Microsoft Fabric lakehouse, filled by notebooks, with bad rows set aside instead of lost.
Start the course3 lessons · 9 minFrom a plain total to year to date and last year: measures that give the right number in every visual of a Power BI report.
Start the course3 lessons · 12 minFree talks and workshops for Azure, Fabric and Power BI user groups, meetups and conferences, online or in Vienna, on KPIs, charts, UI/UX and AI. Every talk shows a working build.
Monitoring is a user interface too. Run logs, dashboards and alerts designed for the person who gets them at seven in the morning: what broke, what it affects and what to do.
Free text in the source, tidy columns in the report: an Azure OpenAI step in a Data Factory pipeline that classifies, extracts and summarises as the data loads, paid once per row and checked like any other step.
Streaming data in Fabric Real-Time Intelligence, from an eventstream to an eventhouse to a Real-Time Dashboard: which charts work when the numbers move every few seconds, and which only make people dizzy.
Copilot in Fabric notebooks for the code, AI functions that classify, translate and pull facts out of a text column, and a data agent that answers questions from the gold tables. What each is good for, and what to check.
Why the same KPI comes out different in three reports, and how to define it once in the semantic model, with its time comparisons from one calculation group.
Themes, palettes and page layouts for Power BI reports, checked for contrast and colour blindness before anyone opens them.
A question about Azure, Fabric or Power BI, an idea for a talk, or the course you want next? Write to me.