Dynamic data analyst with strong skills in Python, SQL, and performance optimization. Proven track record in streamlining ETL processes and enhancing system flexibility through automation.
Overview
4
4
years of professional experience
Work History
Consultant - Data Analyst
Deloitte
Warsaw, Poland
07.2023 - Current
Engineering & ETL Development: Designed and implemented high-performance ETL processes and PL/SQL packages processing millions of records daily within relational database environments (Oracle), ensuring data integrity for the IFRS 9 platform.
Python Migration Initiative: Taken part in a project to refactor and migrate business logic from legacy PL/SQL to Python, utilizing Object-Oriented Programming (OOP) paradigms and Pandas/NumPy libraries to enhance system flexibility.
Performance Optimization: Optimized complex database views and stored procedures, significantly reducing query execution time through Execution Plan analysis and advanced indexing strategies.
CI/CD & DevOps: Managed code repositories (Git/Bitbucket) and deployment processes using Change Console. Oversaw CI/CD pipelines and automated testing workflows in Bamboo.
Code Quality Assurance: Served as a Code Reviewer, ensuring high code quality, adherence to software development standards, and compliance with architectural requirements.
GenAI Implementation: Developed a knowledge repository for GitHub Copilot based on RAG (Retrieval-Augmented Generation) techniques, mapping business logic to technical context to streamline code generation from natural language inputs.
Analyst
Deloitte
Warsaw, Poland
07.2022 - 06.2023
Automated Testing & QA: Created and maintained automated test scripts and SQL test datasets to verify the accuracy of data transformations and the computational logic of the Finevare system.
Data Analysis & Triage: Leveraged advanced SQL queries to analyze large data volumes for Root Cause Analysis (RCA) of production errors and to support complex reporting processes.
Technical Specification: Translated complex business requirements from the banking sector into detailed functional and technical specifications for development teams.
Client Collaboration: Facilitated technical workshops and maintained comprehensive project documentation (Confluence), ensuring alignment between business expectations and technical capabilities.
Education
Master of Science - Big Data Analytics
Warsaw School of Economics
Warsaw
12-2025
Bachelor of Science - Quantitative Methods in Economics