I am 28 years old and grew up in Dobrodzień, a small town in southern Poland. As a child, I used to service computers and boost their performance to be able to play my favorite games. That is how I became interested in IT and chose a technical secondary school with an IT specialization. That's where I started programming and creating websites. That's where I started programming and creating websites. I obtained a degree in IT, but it wasn't my passion yet.

Despite my doubts, I decided to study computer science, which turned out to be a good decision. Looking back, I realise that I was naturally drawn to data-related specialisations. I put a lot of effort into learning Python, applying it in algorithms and data structures, and developed solid skills in databases and SQL. During my master's studies, I specialised in machine learning.

As part of my thesis, I built custom smog measurement stations and trained models to programmatically replace heaters, increasing the accuracy of smog measurements – a key environmental problem in Poland.

During my master's degree studies, I started my first professional job as a Data QA. I quickly realised that working with data is very interesting, but on the other side – as a developer.  While still working as a Data QA, I began to get involved in development tasks. That is how I became a data engineer. After a few months, I became the lead data engineer on a small project. Initially, my tools were SQL and Python with Pandas and NumPy. That's also where I had my first practical experience with Azure and AWS cloud computing. As a data engineer, I focused on the Azure ecosystem with Apache Spark and T-SQL.

At my next company, I was a data engineer specialising in Azure from the outset. Initially, I used my background in machine learning and joined a team developing an application using GenAI for the finance. I also worked on machine learning and model management in the Azure Machine Learning environment.

Then I joined a project where our goal was to migrate the existing solution to Microsoft Fabric. After a successful migration and unique hands-on experience, more and more demands related to Fabric emerged.

Today, I am a data engineer with unique hands-on experience in the Fabric stack, in which I specialise. The most common demand concerns the development of BI products, but I also help with the effective management of the Fabric platform, including monitoring its usage and costs.