Is this a learning project or you actually want to implement it for someone?

It's entirely a personal project I took up to boost my learning process. And guess what? It was the right decision.

What are your Data Sources and the measures you took to ensure Data Quality Assurance?

About data sources, the records found in this database are entirely dummy data generated with the Faker library in Python intended to simulate the real-life film industry. 

Furthermore, appropriate constraints and data validation measures were implemented to maintain accuracy and integrity of records entered into the database. Provisions were also made to maintain consistency across database records through data types and database triggers that ensure a consistent naming convention.

You can check out the table constraints here.

 You can check data types for each field here. 

Find data validation measures here. And naming convention database triggers here.