Build the
Infrastructure
of Tomorrow
A specialized academy designed to transform enthusiasts into world-class Data Engineers through rigorous hands-on training.
Master Big Data
Industry Standard Curriculum
Transforming Careers in Data Engineering
DataCraft Academy is a hands-on training academy dedicated to transforming students, fresh graduates, and career shifters into professional Data Engineers.
We offer a structured 3-level track — Beginner, Intermediate, and Advanced — designed to help you master data engineering from the ground up. Currently, we're running our Beginner Level, covering all the essential foundations and tools used by real-world data engineers.
Our Approach
Real-world projects & business-driven scenarios
Work on actual data engineering challenges that mirror industry demands.
Interactive labs, quizzes, assignments & live mentorship
Get guided support with hands-on practice and feedback from expert mentors.
Emphasis on both tools and engineering mindset
Master the technical stack alongside the problem-solving skills that set engineers apart.
Industry
Professional Training & Coaching
Learning Track
Beginner · Intermediate · Advanced
Whether you're just starting or shifting into tech, DataCraft Academy gives you the skills, tools, and confidence to launch your career in Data Engineering.
Comprehensive Curriculum
Our multi-level learning path is designed to take you from foundational concepts to architecting complex, production-ready data infrastructures.
Databases Concepts
Master the foundations of relational database design, theory, and implementation.
Structured Query Language (SQL)
Go from basic CRUD to advanced analytical window functions and complex query optimization.
Data Warehouse & ETL Concepts
Architect scalable analytical environments using Kimball Dimensional Modeling.
Python Programming Language
Build functional data scripts and automate data movement between systems.
Linux & Bash Scripting
Master the command line and automate system tasks in remote server environments.
Networking Basics
Understand the core protocols and infrastructure that power the internet and distributed systems.
Introduction to Git & GitHub
Adopt professional software engineering best practices for version control and collaboration.
Google Cloud Platform (GCP)
Provision and manage essential cloud resources for modern data stacks.
From Enthusiast to
Junior DE Associate
Upon completion of the Beginner Track, graduates will have partitioned from data enthusiasts to Junior Data Engineering Associates with a comprehensive 'Full-Stack Foundation'.
Review Program DetailsArchitectural Literacy
Design ERDs and Kimball Dimensional Models.
Programmatic Automation
Master Python, SQL, and Bash for ETL.
Cloud Infrastructure
Proficiency in BigQuery, GCS, and GCE.
Engineering Best Practices
Git, Linux Admin, and Networking.
Get Professional Recognition
Foundation Certificate
Professional Certificate
Expert Certificate
Professional Outcomes
Every course is engineered to deliver specific business results and technical mastery.
Database Design & Theory
Students will transition from flat-file data management to relational systems. They will be able to translate complex business requirement documents into optimized Entity-Relationship Diagrams (ERDs).
Implementing Normalization to ensure data integrity and leveraging Indexing strategies to optimize query performance in production environments.
SQL Mastery
Students will achieve full fluency in SQL, moving from basic CRUD operations to advanced analytical queries.
Writing high-performance queries that utilize window functions, complex joins, and CTEs to extract actionable insights from raw data.
Data Warehouse & Modeling
Students will be able to architect a scalable analytical environment. They will master Kimball Dimensional Modeling, including Fact and Dimension tables.
Designing ETL/ELT workflows that incorporate Change Data Capture (CDC) and fundamental Data Governance practices.
Python for Data Engineering
Students will develop the programming foundation necessary to automate data movement. Build functional data scripts.
Using Pandas for transformation, connecting to Relational Databases, and consuming data from REST APIs.
Learn from Industry Experts
Our instructors are experienced data engineers and technologists who bring real-world expertise into every lesson. A small, dedicated team of 2-10 professionals passionate about data engineering education.
Abdelrahman Etman
Big Data Engineer & Lead Instructor
Machine Learning Engineer turned Big Data Engineer.
ITI Data Management Track graduate (Intake 44).
Previously Data & Analytics Engineer at EJADA,
now Big Data Engineer at BBI.
Passionate about mentoring the next generation of data professionals.
Hosni Mohamed
Data Engineer & Instructor
Big Data Engineer @ Ejada (Sept 2022- Dec 2025)
Senior Data Engineer @ Protagona (Jan 2026 - Present)
Mennatallah Mamdouh
Data Engineer & Instructor
ITI Data Management Track Graduate (Intake 44).
Data Engineer at VOIS.
Part-time Technology Instructor.
