Data Engineer focused on building reliable data pipelines and working with large-scale data processing. Currently working as a data consultant in the banking sector and actively deepening my expertise in data engineering and cloud platforms.
Skillware (ARPAHLS) — Open Source Contributor
Authored the framework's command-line interface from scratch in Python (skill discovery, help and version commands, full test suite) and redesigned its visual output with Rich for a cleaner UX. Also built two data-engineering skills for its modular registry: a novelty extractor and a token-efficient semantic web-extraction proxy.
End-to-end data pipeline ingesting daily match results, standings and top scorers from the 5 major European leagues. Built with PySpark, Delta Lake (Medallion architecture) and orchestrated with Apache Airflow on Databricks.
Scraped hotel reviews from Booking and Hotels.com, cleaned the data and trained classical ML models (Naive Bayes, Logistic Regression, SVM) for sentiment classification.
Extended the project with deep learning models (CNN, RNN), distributed processing using Dask and MapReduce, and storage in MongoDB.
Full-stack mobile application for language learning built with React Native, Express and MySQL.
