π Junior Data Engineer focused on building ETL pipelines, managing databases, and delivering clean, reliable data.
- Languages: Python, SQL
- Databases: PostgreSQL, MySQL
- Data Tools: Pandas, SQLAlchemy, Airflow (beginner), Docker
- Other: Git/GitHub, REST APIs, Linux basics
πΉ ETL Job Scraper β Scrapes job listings, transforms with Pandas, and loads into PostgreSQL using SQLAlchemy.
πΉ SQL Analytics Project β Database design + advanced SQL queries for reporting (joins, window functions).
πΉ Dockerized Pipeline β Simple ETL pipeline containerized with Docker (Python + Postgres).
Airflow β’ Spark β’ Cloud Platforms (GCP & Azure)
- π§ Email: [email protected]
βοΈ Building projects step by step on the path to becoming a Data Engineer.