Paweł Bałazy
From: Poland
Location: Myślenice, PL
On Useme since 14 May 2026
About me
I automate reports and data processing with Python, Excel and Power BI. Manual copying and merging of files become tools that run in one click.
My day job is Senior Engineer – Systems in the automotive industry, working with Tier-1 suppliers: I process test data, track down root causes and prepare analyses. Hence the precision and clean code.
How I can help:
• Report automation: CSV/Excel exports from many sources → one checked report.
• Dashboards: interactive in Excel (no macros) and in Power BI with a data model and DAX.
• Data cleaning and merging: duplicates, date and number formats, .csv, .xlsx, .json.
• Web scraping: prices and catalogues from websites to Excel, compared between runs.
• Excel VBA and simple Python desktop apps.
• Documentation in Polish, English and German.
The portfolio projects are demos on sample data.
I invoice through Useme (VAT invoice). Tell me what you want to automate and I will send a free quote.
CV / Résumé
May 2007 - Now
Senior Engineer – Systems
Branża automotive (dostawcy Tier-1)
I process and analyse test data, track down root causes and prepare analyses and presentations for project teams. I automate reports and data processing in Python and Excel and work with documentation in Polish, English and German.
Portfolio
Demo on fictional data. Python builds a validated star schema; the Power BI report shows revenue, margin, target attainment and overdue invoices. 11 DAX measures, branch and month slicers, one-click refresh.
Demo on fictional data. Pick a branch and a month and every KPI, chart and table recalculates. A plain .xlsx with 60+ SUMIFS formulas, no macros or add-ins, also works in LibreOffice.
Demo on a public scraping sandbox. Crawls the whole catalogue (1,000 products from 81 pages) with delays and retries, writes clean Excel and compares prices with the previous run.
Demo on fictional data. Three branch exports in different formats (Polish CSV, Excel, German CSV) become one checked Excel report with charts and a data quality log. The total reconciles to the cent.
Demo on sample data. A desktop app (Python, PySide6) checks test bench logs against limits, flags duplicates and incomplete files, then writes an Excel summary and a PDF report.