

The certificate of Data Engineer
presented to
for completion of the 280-hour bootcamp with hands-on projects and use cases in
Advanced Data Analytics, DataOps, Datastores, Serving Data & Cloud Data Warehousing.
February 14, 2025
Dr. Dimitris Mousadakos
Dr. Sophia Verouti
Co-founder & CEO
Co-founder & COO
Thomas Anagnostis


Thomas Anagnostis
Data Engineering bootcamp is a hands-on, 280-hours, live-online course.
To earn the credential from the Big Blue Academy Data Engineering bootcamp, recipients need to successfully complete a rigorous and comprehensive training program. Throughout the duration of the bootcamp, participants will engage in a series of intensive learning modules designed to develop their skills in a specific field.
The curriculum is carefully crafted to cover the essential knowledge and practical aspects of the chosen subject matter. Participants will engage in a combination of theoretical instruction, hands-on exercises, and real-world projects to enhance their understanding and proficiency.
To earn the credential, individuals must actively participate in all aspects of the bootcamp, including attending lectures, completing assignments, and actively contributing to group activities. They will have access to a dedicated learning platform where they can access course materials, engage in discussions, and seek guidance from instructors and peers.
Throughout the program, participants will be assessed through a combination of quizzes, exams, and project evaluations. Successful completion of all assessments, as well as meeting the attendance and participation requirements, is necessary to earn the credential of Data Engineer from the Big Blue Academy.
By the end of the bootcamp, recipients will have gained comprehensive knowledge and practical skills in Data Engineering, empowering them to pursue career opportunities or advance their existing professional paths. The Big Blue Academy credential serves as a testament to their dedication, commitment, and proficiency in their respective domain.
Skills / Knowledge
- Data Analysis
- DataOps
- Datastores
- Serving Data
- Cloud Data Warehousing
- Apache Airflow
- Spark
- Docker
Issued on
February 14, 2025
Expires on
Does not expire
Earning Criteria
Optional
Successful completion of the exam
Completion of the final project