i’m monia - a data engineer who enjoys turning messy data into clear, well-structured pipelines.
i like working close to the data: understanding it, shaping it, and making it useful.
🤝 open to collaborative projects that challenge my skills and spark curiosity.
- building and improving etl / elt pipelines
- strengthening skills in sql, python, and data modeling
- learning how modern data stacks work in practice
- exploring ml & gen ai as tools that support data work
etl / elt pipelines • data modeling • data quality • analytics • automation
tools: excel, power query, looker studio, jupyter, pycharm, github
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gaming sessions sql data analysis
end-to-end sql + python project: synthetic data generation (faker), postgresql modeling, and analysis of player behavior, monetization, and retention with matplotlib visualizations. -
ai news agent
automated agent that curates, summarizes, and organizes ai-related news directly into notion. -
stock analysis tool
python-based workflow for financial data extraction, indicators, and visualization. -
fitness analytics etl & bi
power query etl pipeline unifying fitness data for looker studio dashboards. -
e-commerce etl & dq
data cleaning, standardization, and quality checks for sales kpi reporting.
👀 curious mind • 🌊 ocean lover • 🎮 fortnite strategist
i enjoy turning complexity into structure.
from raw inputs to clear datasets, i like making data easier to trust and use.
with a background in hospitality, i bring a people-first mindset to data engineering.
currently focused on growing as a data engineer, with a strong interest in cloud-based data platforms and ai-powered data workflows.