Results-oriented professional with expertise in transaction monitoring and fraud management systems. Skilled in SQL performance tuning and converting complex financial workflows into robust database specifications. Pursuing a Big Data postgraduate degree to leverage AWS and Spark in securing and optimizing global data flows.
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Software Consultant / Implementation Engineer
Capgemini
May 2025 - Current(1 year 5 months)
• ETL & Data Integration: Developing and maintaining ETL pipelines for NetReveal, ensuring seamless data ingestion from diverse banking sources. • System Deployment: Participating in the end-to-end installation of NetReveal environments on enterprise servers, focusing on database connectivity and stability. • Data Validation: Configuring software components to ensure data integrity and compliance with complex business rules for fraud/anomaly detection. • Technical Stewardship: Managing technical documentation and version control (Git/SVN) in an international, client-facing environment.
• SQL Development: Designing and tuning complex SQL queries (Oracle, PostgreSQL) to optimize transaction monitoring and investigative reporting. • System Configuration: Implementing and fine-tuning detection rules within the NetReveal platform to improve fraud capture rates. • Quality Assurance: Troubleshooting data flow issues and interpreting system logs to maintain high data quality across production environments. • Collaborative Design: Partnering with business analysts to translate financial crime scenarios into technical database specifications.
Product Manager Trainee
Olx Group
Jul 2022 - Jan 2023(7 months)
• Data-Driven Insights: Conducted data analysis to identify user behavior patterns and business opportunities for product optimization. • Requirement Engineering: Collaborated with stakeholders and engineering teams to define technical requirements for data management features. • Agile Delivery: Worked within a cross-functional Scrum team, participating in sprint planning and knowledge-sharing sessions to improve data flows.
Education
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Postgraduate in Big Data, Data Analysis & Processing
Warsaw University of Technology
Jan 2025 - Jan 2026(1 year 1 month)
Focus: Distributed Processing, Stream Processing, Cloud Data Warehousing
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Bsc of Computer Science & Econometrics
University of Economics & Business, Poznań
Jan 2019 - Jan 2022(3 years 1 month)
Focus: Econometric Analysis, Algorithms & Data Structures, Relational Databases
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BA of Management & Bus. Law
Adam Mickiewicz University, Poznań
Jan 2016 - Jan 2020(4 years 1 month)
Focus: Civil & Commercial Law, Public Finance, Financial Accounting
Projects (professional or personal)
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Hybrid Movie Recommendation System | AWS Cloud Pipeline
Dec 2025 - Current(10 months)
• Stack: AWS (S3, Glue, Athena), PySpark, Spark MLlib, Parquet. • ETL & Architecture: Built a Medallion Architecture on S3; developed serverless AWS Glue Jobs for data ingestion/processing. • Optimization: Used Parquet/Snappy and Partition Pruning to reduce storage and compute costs. • Data Engineering: Automated data cleaning and deduplication using Spark Window Functions. • Enrichment: Integrated NLP sentiment analysis for behavioral-based recommendations.