Master’s student in Data Science at the University of Potsdam, Germany with a strong interest in Data Engineering, Analytics Engineering, and BI / Analytics.
I build projects around SQL, Python, data warehousing, ETL/ELT, and analytics-ready datasets, with a focus on creating reliable data workflows for reporting, analysis, and downstream use.
- Focused on Data Engineering as my primary career direction
- Building hands-on projects in data pipelines, data modeling, and analytics engineering
- Interested in cloud-based data architectures, workflow automation, and data quality
- Continuously strengthening practical skills in SQL, Python, and modern data workflows
Production-style SQL Server data warehouse project built using the Medallion Architecture (Bronze → Silver → Gold).
Covers data ingestion, transformation, modeling, and quality checks to support analytics and reporting workflows.
Portfolio project simulating a fintech-style e-commerce / BNPL order review workflow using business rules, validation logic, risk scoring, reason codes, and decision routing.
Models how incoming orders are evaluated and assigned final outcomes such as APPROVE, REVIEW, REJECT, or INVALID.
Languages
SQL, Python, Bash
Data & Analytics
SQL Server, Data Warehousing, ETL/ELT, Data Modeling, Power BI
Engineering & Tools
Git, Docker, Jupyter, Flask
Cloud & Modern Data Stack
AWS, Azure, dbt, Airflow, Spark
- Building stronger data engineering foundations through practical projects
- Expanding experience in cloud-based data workflows
- Developing portfolio work in data pipelines, analytics engineering, and BI
- LinkedIn: linkedin.com/in/saadabdullah15
- GitHub: github.com/saadabdullah-15
- Email: saadiehere@gmail.com
💬 Open to data-focused opportunities, collaborations, and project work in Data Engineering, Analytics Engineering, and BI / Analytics.