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kubuka/README.md

Hi, I'm Kuba! 👋

Aspiring Data Engineer focused on building robust ETL/ELT pipelines and scalable data architectures.

🚀 Technical Stack

  • Core: Python, SQL
  • Data Engineering: PySpark, dbt Core, DuckDB, Parquet
  • Orchestration & DevOps: Apache Airflow, Docker, Git
  • Visualization: Streamlit, Matplotlib, Seaborn

🛠️ Featured Projects

  • Crypto Anomalies Lakehouse – Local lakehouse orchestrated by Airflow. Uses PySpark for ingestion, dbt + DuckDB for Star Schema modeling, and Streamlit for anomaly visualization. Fully containerized.
  • YouTube Sentiment ETL – ETL pipeline fetching YouTube comments, routing them through local Hugging Face NLP models for translation/sentiment analysis, and loading structured data into PostgreSQL.
  • LoL Pro-Play SQL Analytics – Advanced esports analytics using advanced PostgreSQL queries (window functions, CTEs) to discover meta shifts and player economics from a massive dataset.

📫 Connect with me: LinkedIn | babecjakub@gmail.com

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  1. crypto-anomaly-detector crypto-anomaly-detector Public

    Local data pipeline that automatically fetches crypto prices and detects market anomalies using Spark and dbt on DuckDB. Everything is orchestrated by Airflow, fully containerized with Docker, and …

    Python

  2. youtube-gaming-sentiment youtube-gaming-sentiment Public

    An ETL pipeline that fetches YouTube video comments via API and processes them using local Hugging Face NLP models for multi-language sentiment analysis. The structured data is loaded into a Postgr…

    Python

  3. lol-proplay-analysis lol-proplay-analysis Public

    Advanced esports analytics pipeline that uses PostgreSQL to process a massive dataset of professional League of Legends matches.

    Python