AWS Serverless ETL Framework

The idea is to take advantage of

SERVERLESS

concept to gain more time for the data analysis work. Every big data company spends more than 70% of the time for ETL jobs; however, only does

the data analysis work (BI, ML, DL)

bring the real business value to the products and to the company.

• AWS Serverless ETL Framework
• SoftB*nk Robotics
• 2018
• Senior Data Engineer
• Team of 3 data engineers
• TParis, Île-de-France, France
• Extract, Transform, Load (ETL)
• Python 2.*
• AWS Glue
• AWS RDS
• AWS Redshift
• AWS S3
• PostgreSQL
• Data Lake
• Data Warehouse
• PySpark
• Git
• Pylint