Here's the perspective from my side : 1. Clear Communication: Establish open channels for discussing challenges and expectations among team members. 2. Role Definition: Clearly define roles and responsibilities to avoid overlap and confusion. 3. Standardized Processes: Implement standardized ETL processes and protocols to ensure consistency. 4. Collaboration Tools: Use collaboration tools like shared dashboards and task management systems. 5. Regular Meetings: Hold regular meetings to address issues and update progress. Conflict Resolution: Implement a strategy for resolving conflicts quickly. 6. Training: Provide ongoing training to keep the team aligned on best practices.

Initial Challenge : Connecting to the source and target. Resolution: To ensure we have enough connectivity to source and target systems Data Challenges: Main challenge we face after connectivity is loading data. There are situations where data type or length of data may change Resolution: A clear communication to ETL developers on data type change so that the target system can be altered appropriately Transformation Challenges: Apart from above said challenges few challenge which we should be cautious about is on performance. Resolution: To select only required columns instead of using select * from table name. Best Practice: Parameterising the connection strings, Using configurations tables wherever possible so that changes are minimal