Rosa Klimek is a data engineer with nine years of hands-on software experience who blends a strong backend foundation in .NET and Python with a growing specialization in data science and machine learning. She has progressed from web and .NET development into building data-quality and time-series ETL solutions, contributing to platforms that verify data integrity and visualize user activity at scale. Comfortable with Python, PostgreSQL, InfluxDB, Spark, Hadoop and cloud integrations, she pairs practical engineering with statistical anomaly detection to make data reliable and actionable. Currently at Fetcherr after helping develop a data verification platform at DQOps, Rosa brings both team leadership experience from earlier .NET roles and a research-minded approach shaped by her bachelor’s thesis and ongoing MSc studies in Data Science. Colleagues describe her as an enthusiastic problem-solver who seeks novel challenges and intentionally grows soft skills alongside technical depth.
9 years of coding experience
4 years of employment as a software developer
Masters (MSc), Data Science, Masters (MSc), Data Science at Warsaw University of Technology
Bachelor of Science (B.Sc), Computer Science, 4.5, Bachelor of Science (B.Sc), Computer Science, 4.5 at University of Warsaw
Secondary education, Math-Physics-CS, Secondary education, Math-Physics-CS at XIV High School of Stanislaw Staszic in Warsaw
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