Natalia B
From: Russia
Location: Wrocław, PL
On Useme since 25 October 2025
About me
Cześć! Nazywam się Natalia i zajmuję się automatyzacją danych w Pythonie i SQL. Pomagam firmom tworzyć czyste, zoptymalizowane zapytania SQL, raporty oraz skrypty automatyzujące pracę z danymi. Mam doświadczenie w pracy z bazami danych PostgreSQL, Oracle i SQLite, a także w raportowaniu i analizie danych. Chętnie podejmę współpracę przy projektach związanych z analizą danych, automatyzacją lub optymalizacją baz danych.
I’m a Python and SQL developer with over 10 years of experience in finance and data analytics. I create and optimize SQL queries, automate Excel and database reports, and build small data tools (Python/FastAPI, PostgreSQL, Pandas). I help analysts and small companies save time by automating manual work — data cleaning, reports, or transformations.
✅ SQL reports and queries (PostgreSQL, Oracle, MS SQL)
✅ Python scripts for data automation
✅ Converting Excel or CSV data into structured reports
✅ API / ETL data processing
Fast delivery, remote work, clear communication in
CV / Résumé
Nov 2024 - Aug 2025
Software Engineer
UBS
• Developed and optimized SQL queries for financial risk and performance reporting. • Built Python automation scripts reducing manual workload by ~70%. • Designed and maintained ETL workflows integrating multiple data sources into Azure SQL.
Oct 2019 - Oct 2024
Database Programmer
Credit Suisse
Developed and maintained SQL scripts, PL/SQL packages, and data flows for internal analytics systems Automated routine reporting tasks and database checks using Python and shell scripts Worked closely with business analysts to translate data requir
Jul 2016 - Sep 2019
Senior Oracle DBA
Luxoft Poland
Working for UBS. Aligned DBA to a critical availability (trading) project. Provide proactive monitoring of the database instances, and take preventive steps (setting up alerts) to ensure high availability. Solve performance issues and providing analy
Portfolio
Bot Telegram do śledzenia wydatków. Zapisuje dane w SQLite, tworzy raporty i eksporty CSV. Projekt pokazuje umiejętności Python, SQL i automatyzacji danych.
A simple ETL pipeline built with Python to extract, transform, and load expense data from a CSV file into a SQLite database. The project demonstrates a clean, modular approach to data automation using only standard libraries and SQLAlchemy.