Mohamed Tarek

I’m a results-driven junior data engineer with strong foundations in data engineering, analytics, and software development. I focus on building reliable, scalable data solutions while continuously learning and applying new technologies in data-driven environments.

As a Coding Instructor, I delivered a Python curriculum to 60+ students and achieved a 95% student satisfaction rate. I also built automated grading scripts that cut manual review time by 50%, processing 200+ assignments weekly.

During my internship as a Junior Software Developer, I optimized SQL queries for data validation tasks, improving performance by 20% and reducing processing time. I developed data cleaning workflows that improved consistency across 5+ backend modules and reduced duplicate records by 15%, while auditing production database integrity and adding validation checks to prevent anomalies before deployment.

In my projects, I built an ETL pipeline for 1,000+ cryptocurrency assets with Apache Airflow, reaching 99% reliability through idempotent workflows and alerts. I transformed raw API data into analytics-ready Parquet stored in MinIO with data quality checks ensuring 100% integrity, and I also created a real-time COVID-19 streaming platform using Kafka, NiFi, and Spark structured processing—deployed with Docker Compose.