Python AWS Lambda function, S3 retrieve, GZ uncompress, parse and insert into SQL

Project will requirea labda function to be built in python that is triggered on object creation in an S3 bucket.

The GZ file will have a .csv file within it.

This CSV file will have a top line with 8 delineated fields. These 8 fields will be inserted into a single row in Table_A, along with an auto-generated ID.

The second line will contain 11 deleneated field names, These names will map to column names in Table_B.

From line 3 until end of file there will be 11 delieneated values to be installed.

All services are AWS hosted, Lambda, S3 and MySQL via RDS.

You are to avoid whereever possable AWS exclusive items. for example this is unavoidable for the S3 retreval but forthe MySQL write use a MySQL insert command not a message bus service.

Attached you will find a sample file, the data in the fields is typical and includes all anticipated special charicters that may exsist.

Квалификация: Python, Amazon Web Services, MySQL, Aws Lambda

О работодателе:
( 2 отзыв(-а, -ов) ) Austin, United States

ID проекта: #21261062



Having implemented exactly the same architecture many times, in production environments, I am sure I can deliver a working and robust solution.

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