Full-Stack Data Engineering
A comprehensive data engineering program for career switchers and data specialists
Full-Stack Data Engineering
Program Overview
Today, every business is data-driven. The demand for data specialists continues to grow. That’s why we’ve developed this program — a micromaster’s degree covering fundamental knowledge of data storage, processing, and retrieval.
In just 3 months, you’ll master all core areas of Data Engineering — from SQL queries to coordination and monitoring. We’ve handpicked the most in-demand, industry-leading tools for each stage. Mastering them will help you break into the field, solidify your position, or systematize your knowledge in this cutting-edge tech domain.
WHAT YOU WILL LEARN
PARTICIPANT REQUIREMENTS
Basic understanding of Python
Basic understanding of SQL
Basic understanding of Docker
English proficiency at B1 level or higher
EDUCATIONAL MODULES
Module 0: Prerequisites and Introduction to Data Engineering
This module is dedicated to introducing the key concepts of data engineering and structuring knowledge:
Module 1: Data Storage
In this module, you will get acquainted with the basic principles of data storage:
Module 2: Data Processing
This module is dedicated to the main approaches and tools for data processing:
Module 3: Data Retrieval
In this module, you will learn how to collect and organize data from various sources:
Module 4: Coordination and Monitoring
In this module, you will learn why and how to orchestrate, coordinate, and monitor data using various tools:
Curator and Instructor
Dmytro Pryimak
Engineer with over 10 years of professional experience in designing and building systems for distributed data processing. Throughout his career, Dmytro has worked on numerous projects covering insurance, healthcare, medical data processing, online media, and entertainment. In recent years, he has shifted his focus from purely engineering to team leadership and mentoring/coaching.
Dmytro is also a guest lecturer at SET University, where he teaches Big Data at the Master’s degree programs.
Maksym Ivashura
Experienced database/data warehouse and business intelligence engineer with over 30 years of professional background in manufacturing and outsourcing sectors. Currently works at Trinetix, where he also serves as a mentor and technical interviewer. Maksym is the author of the StoreOff accounting system and has extensive experience with various database management systems, including MS SQL Server (as well as SSAS, SSIS), Azure DB, PostgreSQL, Redshift, Snowflake, MySQL, Oracle, SQLight, MongoDB, Redis, Cassandra, and less conventional systems such as Firebird/InterBase, MS Access, DBase, DataEase, and DuckDB. Based in Kharkiv, Ukraine, and Málaga, Spain.
Khrystyna Kokolius
A seasoned Data Engineer at SoftServe with over 4 years of hands-on experience in designing and developing data pipelines. Her core expertise lies in optimizing SQL queries, streamlining data processing workflows, and elevating overall system performance. By leveraging best practices in data analytics, Khrystyna helps teams scale efficiently and adopt modern technologies for enhanced data-driven solutions.
Sirojiddin Dushaev
Data Engineering & BI expert with extensive experience in building scalable data solutions. Specializes in database architecture, data warehousing, and business intelligence development. Proficient in cloud platforms such as AWS, GCP, and Azure, as well as big data technologies like Apache Spark and Kafka. Skilled in SQL, Python, and deploying machine learning models. Passionate about data-driven decision-making and optimizing analytical infrastructures. Loves collaborating with teams to enhance data efficiency and business insights.
ADVANTAGES
The program provides the necessary skills and knowledge to start a career in one of the most in-demand IT fields
Flexible learning format, allowing you to combine it with full-time work
Training by expert practitioners who provide relevant feedback and quality support during the course
WHO IT’S FOR
Developers looking to grow in the field of data engineering
Data Scientists and Data Analysts who want to transition into a Data Engineer role
Junior Data Engineers looking to organize their knowledge and use data tools effectively
Experienced technical specialists who need to learn data engineering for project management, architecture design, and expanding overall skills in this technology area.
Senior+ tech specialists looking to expand their expertise for project management and architecture design
FAQ
I already work as a data engineer. Is it worth taking your course?
If you have been working in this position for a year or less, then yes, this course will help you structure your knowledge and fill in gaps in your mastery of specific tools.
Learn more about the SET University program
