Aspiring Data Engineer • Cairo, Egypt
I’m learning modern data engineering step by step, sharing what I discover, and documenting the projects that shape my journey. Follow along as I craft reliable pipelines, cloud foundations, and meaningful insights.
About Me
I’m Mohamed, focused on building reliable data systems and turning raw information into meaningful insights. I’m passionate about data, technology, and the way well-designed pipelines power smarter decisions.
My learning journey is centered on data modeling, ETL pipelines, cloud tooling, and scalable storage. I enjoy experimenting with datasets, documenting progress, and sharing practical takeaways for fellow learners.
Growth-focused learner
Building practical data skills with every project.
Skills & tools
Bold, reliable skills focused on building scalable, production-ready data systems.
Learning Journal
Short, practical reads that document Mohamed’s progress, experiments, and lessons learned while building real-world data systems.
A step-by-step reflection on planning, building, and testing an end-to-end pipeline for batch analytics.
Five simple practices for writing clearer queries, debugging faster, and keeping datasets trustworthy.
What I learned while parsing, validating, and modeling log data for a monitoring dashboard.
“Continuous learning is not a sprint—it’s a steady, joyful climb. Each small insight compounds into real expertise.”
Portfolio
A focused gallery of pipeline, warehousing, and observability builds. Each project is designed to showcase real systems thinking, clean architecture, and measurable learning progress.
Kafka ingestion and transformation flow with retry logic and monitoring hooks.
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Dimensional modeling project with dbt tests and quality scorecards.
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DAG orchestration with automated alerts, SLAs, and backfill strategy.
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Metrics + tracing suite for pipeline health with anomaly signals.
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