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Achievement: QuickdrawAchievement: Pull Shark

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Achievement: QuickdrawAchievement: Pull Shark

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wiktorbielski/README.md

👋 Hi, I'm Wiktor Bielski

⚙️ Data and Analytics Engineer

Welcome to my GitHub! I'm Wiktor, a data and analytics engineer, designing and delivering scalable analytical solutions that enable data-driven decision making across the organization. My work spans ETL pipeline development, distributed data processing in PySpark and Azure Databricks, interactive dashboarding, and end-to-end workflow automation — with a focus on integrating data from diverse sources and turning it into trusted, decision-ready outputs.

🧰 Core Skills & Tools

  • Data Engineering: Building and maintaining data pipelines and ETL processes in PySpark and Azure Databricks, integrating data from warehouses, relational and columnar databases, and Azure Data Lake
  • Programming & Scripting: Python (pandas, NumPy, matplotlib), SQL, Spark SQL — writing custom scripts to enhance analytical depth, automation, and processing performance
  • Analytics & Visualization: Creating interactive dashboards and analytical reports in Power BI and Power Query to transform data into actionable insights
  • Workflow Automation: Implementing end-to-end automation in Power Automate to streamline analytical processes and increase productivity
  • Collaboration: Experienced in agile, cross-functional environments — bridging engineering and business stakeholder needs

⚙️ Technologies I Work With

PySpark • Apache Spark • Azure Databricks • Azure Data Lake • BigQuery • Kafka • Docker • Python • pandas • NumPy • SQL • Bash • Git • Power BI • DAX • Power Query • Power Automate • Looker Studio • Visual Studio Code • BPMN

Pinned Loading

  1. real-time-polish-weather-kafka-pipeline real-time-polish-weather-kafka-pipeline Public

    Real-time Polish weather monitoring pipeline using Apache Kafka (KRaft), Python ETL, BigQuery storage & Looker Studio viz. Demonstrates streaming ingestion, batch loading & serverless analytics.

    Python

  2. precious-metals-rag-airflow-pipeline precious-metals-rag-airflow-pipeline Public

    An end-to-end data engineering and AI pipeline that orchestrates real-time precious metals market analysis. The system ingests spot prices via Apache Kafka, stores time-series data in Google BigQue…

    Python

  3. databricks-batch-pipeline-atp_tennis-matches databricks-batch-pipeline-atp_tennis-matches Public

    An automated Bronze → Silver → Gold ETL pipeline for ATP tennis data. Built with Databricks, PySpark, and Delta Lake. Features data quality checks, partitioning, and analytics-ready Fact/Dimension …

    Jupyter Notebook

  4. bigquery-medallion-dwh-project bigquery-medallion-dwh-project Public

    Building a modern data warehouse with Big Query, including ETL process, data modeling and analytics.