Accelerated Learning Action Learning Growth Mindset Peer-to-Peer Lifelong Learning
Capgemini Data Engineer I Academy 2022
This diploma is awarded to
Daulet Yesseken
for successfully completing
Capgemini Data Engineer I Academy 2022
08 June 2022 - 30 September 2022
Lucas Kindt, Program Manager
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Accelerated Learning Action Learning Growth Mindset Peer-to-Peer Lifelong Learning
Capgemini Data Engineer I Academy 2022
Description of the program

During this comprehensive 12-week program, the participants have learnt to extract data out of various systems, such as databases, files, online- and streaming sources. In addition, they have gained knowledge on how to clean, correct and transform data with SQL, Python and DAX. The participants were taught to design and create an operational database and a modern data warehouse, and they have gotten an understanding on how to load data into on-prem and cloud database. There was emphasis on learning data visualization and how to analyze with both Power BI and Python. Additionally, they gained insights into Machine Leaning models. Working with streaming data and SPARK technologies were part of the program. The participants have gained the required knowledge and skills needed to start their career in data engineering-related projects.

Program Content

Data profiling
SQL Language
SQL Analytical queries
SQL Server
ETL processing
Data Transformation and Correction
Operational (OLTP) Database modeling
Data Warehouse modeling
Database implementation
Snowflake
Python in data engineering
Azure data services
PySpark and streaming data
Synapse Analytics, Data Factory and Databricks


AW Academy

At AW Academy, we believe that learning is a process that occurs when the individual interacts with others, to embrace and implement knowledge, skills, and competence. Consequently, we place great emphasis on identifying and developing the individual’s capacity for learning. Besides learning new subjects’ areas, individuals at AW Academy get to practice our pedagogical methods which lay a great foundation for their skill in learn-to-learn.

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