Me: "My code keeps crashing in several environments."
Senior Dev: "Well, don't deploy it to those environments."
Turning messy data into slightly less messy data.
- Python: Core programming & problem solving.
- SQL: Querying, joins, aggregations.
- Data Fundamentals: Data quality, structure, and basic pipelines.
- Lv1: Movie Data Pipeline & Foundation Analysis
Build a localized ETL pipeline: clean raw movie CSVs using Python, normalize genres, store in SQLite, and analyze popularity metrics. Repo: Lv1 Movie Project
- Fundamentals First: Prioritizing core concepts over specific tools.
- Small & Focused: Building small projects to reinforce learning.
- Documentation: Documenting progress through code and notes.
- Blog: datadonut.netlify.app
- LinkedIn: Karhomatul Faqih Al Amin
- GitHub: @faqihalamin95
This profile documents my learning journey and ongoing progress in data engineering.