Azure Expert for Debugging, Implementing Data Changes

Azure Data Factory + Azure SQL Expert Needed to Debug and Implement Data Processing Change

Description

I'm looking for an experienced Azure Data Engineer with strong knowledge of Azure Data Factory, Azure SQL, SQL Stored Procedures, and Databricks to help implement a change in an existing production data pipeline.

Environment
Azure Data Factory
Azure SQL Database
Mapping Data Flows
Azure Data Lake Storage (ADLS)
Databricks
SQL Stored Procedures
Current Situation

I have already completed the initial analysis:

Identified the source table.
Traced the ADF pipeline.
Reviewed the Mapping Data Flow.
Identified the destination Azure SQL table.
Identified SQL views and stored procedures referencing the table.
Reviewed one of the stored procedures.

The remaining work is to:

Trace the complete end-to-end processing flow.
Identify where a specific business rule is applied.
Determine all components impacted by removing that business rule.
Modify the required SQL/ADF/Databricks components.
Ensure downstream processing continues to work correctly.
Explain the implementation and reasoning.
What I Will Provide
Pipeline JSON
Data Flow JSON
Stored Procedures
SQL View definitions
Ticket description
Access during a screen-sharing session (if required)
Deliverables
Identify the exact implementation points.
Implement the required changes.
Explain every modification.
Provide testing steps.
Help validate the solution.
Required Skills
Azure Data Factory
Azure SQL
SQL Server Stored Procedures
Mapping Data Flows
Databricks / PySpark
Azure Data Engineering
Debugging existing enterprise ETL solutions

Note

The work will be done through screen sharing, and I cannot share confidential source code or business data outside the session.