
Maria Hlusneac
@mariahlusneac
I build reliable data pipelines and analytical datasets for e-commerce, security, and large-scale decision-making.
What I'm looking for
At eMAG, I build end-to-end data pipelines and curated datasets for critical business decisions, including near-real-time stock visibility, profit KPIs, price indexing, and supply-planning solutions. I use Python, PySpark, Spark SQL, dbt, Iceberg, Airflow, and Tableau to make multi-billion-row data reliable and usable.
Previously, I improved analytics performance and data quality at METRO.digital, built insider-threat detections at Amazon, and developed machine learning data-processing systems at Nuvei. I enjoy turning ambiguous cross-team problems into dependable data products, and I also mentor junior colleagues.
Experience
Work history, roles, and key accomplishments
Data Engineer
eMAG
Jul 2025 - Present (1 year 2 months)
Develops and maintains data pipelines for eMAG, an e-commerce platform, supporting analytical datasets across multiple business areas. Owns each pipeline end-to-end, from ambiguous requirements to curated datasets and reports, while collaborating with cross-functional stakeholders.
Education
Degrees, certifications, and relevant coursework
Alexandru Ioan Cuza University
Master's Degree, Artificial Intelligence
2020 - 2022
Pursued a Master's degree in Artificial Intelligence, focusing on attention mechanisms in medical image segmentation. Improved tumor segmentation state of the art by up to 8 percent on two datasets.
Alexandru Ioan Cuza University
Bachelor's Degree, Computer Science
2017 - 2020
Earned a Bachelor's degree in Computer Science, with a thesis on colorizing grayscale images using deep learning techniques. Developed a custom discriminator architecture for GANs, yielding superior qualitative results.
Availability
Location
Authorized to work in
Job categories
Skills
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