Junior Data Engineer currently completing the HackYourFuture Data Engineering programme. I build end-to-end data pipelines using Python, SQL, PostgreSQL, dbt, Docker, Azure and Apache Airflow. I'm passionate about data platforms, analytics engineering and workflow automation, and I'm currently expanding my skills in AI-powered automation.
- Building production-style ETL/ELT pipelines
- Data modelling with PostgreSQL and dbt
- Workflow orchestration with Apache Airflow
- Analytics engineering projects
- Dashboard development with Metabase and Streamlit
- Preparing for a career as a Junior Data Engineer
- Python
- JS
- SQL
- Jinja
- ETL / ELT
- PostgreSQL
- dbt
- Apache Airflow
- Pydantic
- REST APIs
- Data Modelling
- Data Quality Testing
- Azure
- Azure Blob Storage
- Azure Database for PostgreSQL
- Docker
- Git
- GitHub
- GitHub Actions
- Pandas
- Metabase
- Streamlit
- LLM Applications
- AI Agents
- Retrieval-Augmented Generation (RAG)
- AI-powered Workflow Automation
Production-style ETL pipeline integrating CBS REST APIs, PostgreSQL, dbt and Apache Airflow.
Stack: Python • PostgreSQL • dbt • Apache Airflow • Azure • Docker
Analytics Engineering project featuring SQL data modelling, dbt transformations, analytical marts and interactive dashboards.
Stack: Python • SQL • dbt • PostgreSQL • Metabase • Streamlit
- Data Engineering
- Analytics Engineering
- Cloud Data Platforms
- Workflow Automation
- Artificial Intelligence
LinkedIn
https://www.linkedin.com/in/pavel-tisner/
GitHub
https://github.com/pavel-tisner