DEPI — Digital Egypt Pioneers Initiative · Azure Data Engineer Track
Aspiring Data Engineer — Engineering the Flow of Data.
Engineering graduate building practical Data Engineering skills through the DEPI track — working hands-on with Python, SQL and Microsoft Azure to design pipelines and understand how data systems are actually built and operated.
Engineer by training. Data engineer by focus.
Before data, there was engineering — the habit of asking how a system actually behaves under load, where it breaks, and why. That habit is what pulled me toward data engineering: pipelines are systems too, with inputs, constraints and failure modes, not just scripts that move rows from A to B.
I'm currently building that skill set through DEPI — the Digital Egypt Pioneers Initiative — and the Microsoft Azure Data Engineer learning path, working with Python, SQL and Azure Data Services, backed by Linux, Git and Docker fundamentals for building systems that go beyond a notebook.
First principles, structure, precision.
Python and SQL as the build tools.
Pipelines, modeling, transformation.
Linux administration, networking, and Microsoft Azure managed services.
Reliable, observable, production-ready.
Project concepts I'm actively building as I work through the DEPI / Azure Data Engineer track — each one maps to a specific skill below.
Problem: Retail sales data commonly arrives from multiple stores as inconsistent CSV exports with mismatched columns.
Problem: Managing gym members, subscriptions, and workout information manually can be difficult and inefficient.
Coursework in systems thinking, computer architecture and structured problem-solving — the base everything else is built on.
Built fluency with Linux, networking basics and system administration fundamentals.
Hands-on with Git, Docker and CI/CD fundamentals — learning how engineering teams actually ship and operate software.
Developing pipelines, ETL/ELT workflows and data modeling skills with Python and SQL.
Currently progressing through DEPI — the Digital Egypt Pioneers Initiative — and the Microsoft Azure Data Engineer learning track.
Data Engineering Track
Azure Data Services
Feb 18–22, 2024
Jul 11 – Aug 2, 2026 · Grade: Excellent
Career Readiness Training
Completed Apr 25, 2026
Completed Apr 14, 2026