Data engineering

Challenge
We worked on the development and in-service support of an application used for the creation of reports and real-time follow-up of the surveys conducted by our customer.
Our remit was as follows:
- Connection between the application and the database server;
- Automation of addition and editing of SQL queries when creating new functionalities;
- Development of a customer portal for display and response to surveys;
- Development of a script for self-completion of surveys in pdf format to save the user the time of inserting data when downloading files;
- Development of an automated python script for table concatenation and processing in SQL Server;
- Definition of headers at Confirmit level to trigger automatic campaigns at mailjet level and receive messages in the Azure queue;
- Creation of a function in Azure for automated email sending via the API without going through the Confirmit system.
Technologies
- Docker
- Python
- SQL
- Azure
The keys to success
1
Our dual expertise in software development and data engineering;
2
Our knowledge of managed services of public cloud providers.