Perform data extractions from SAP Hana to azure Data Lake using tools such as SAP Data Services and Azure Data Factory.

• Define data architecture within azure Data Lake.

• Create refined data sources for data scientists using azure Data Bricks with Spark language, Python and R,

• Create reports with Power Bi to validate the integrity of the data, Power Shell to scale or program the on and off of the databases to save machine hours consumption, debugging data science code.

• Receive customer requirements for new reports, assignment of tasks, creation of reports with

Functional Experience:

Project estimations. Define functional specifications. Develop functional prototype. Write back-end code to support web interface

Receive requests for new extractions, analyze these requirements to select the correct sources.

• Develop extractions with Informatica Power Center for new requirements, as well as migrate code from PL / SQL to Informatica Power Center.

• Execution and monitoring of extractions, as well as their scheduling with shell script

• Extracting information from databases with Informatica Power Center from ERP (Oracle Siebel) and Billing (Oracle BRM) to buy the data and Find solutions in the difference in charges between the service that the customer has and what is billed. Each report is presented with Oracle OBIEE by querying the data warehouse with SQL and PL / SQL