Building systems that power decisions
Learn how to design pipelines, architectures and scalable data platforms with real business application.
Data Engineering
Hands-on projects with real data
Modern data technologies
Market-focused approach
Data exists. Structure doesn’t.
Many organizations have data but lack the infrastructure to use it effectively.
Without proper pipelines and architecture, data becomes fragmented, inconsistent and hard to use.
From source to insight
This path teaches how to build robust data systems, from ingestion to analytics and AI readiness.
Skills you will develop
Data modeling (relational and NoSQL)
ETL and ELT processes
Data Warehousing and Data Lakes
Distributed processing (Apache Spark)
Modern databases (SQL, NoSQL, vector)
Program structure
- Data fundamentals and modeling
- Data integration (ETL/ELT)
- Distributed processing
- Modern data architectures
- End-to-end project
What changes after
- Ability to build data pipelines
- Work with large-scale data
- Prepare data for analytics and AI
- Build strong data foundations
Real results
“Outstanding SQL and enterprise systems expert.”
“Deep technical expertise in SQL, .NET and enterprise systems. Solves complex problems with precision and efficiency.”
“A transformative experience that opened new opportunities, combining solid knowledge with practical tools for career growth.”
“Clear, structured and market-focused training. I gained confidence and real-world skills to enter the industry.”
Who this path is for
- Professionals who want to work with data
- Developers who want to transition into Data Engineering
- Technical profiles seeking specialization
Who this path is NOT for
- Those who don’t enjoy working with systems and data
- Those focused only on analysis, not engineering
- Those not willing to handle technical complexity
Build the foundation of data systems
One conversation can define your next step in Data Engineering.