EtL work done using Python Libraries , Aws, Postgresql, sql, Data pipelines and Documentation

Demo (run the code) then and overview with detailed documentation of code can be data from public domain Source can be flat file but preference is to have relational source data or even from an api. I don't have a preference on tooling however what was listed (Using libraries in python to run sql /Postgresql and etl processes is fine) Context: Demonstration of data preparation, data transformation, data quality checks/monitoring, reporting output, analysis Factors to consider: · Use case for example Complexity vs Simplicity (refrain from simple examples) · Details about Problem solving for and Outcomes · Tools and Technology · Orchestration and Scheduling · Source and Target Data · Transformations (Refrain from simple examples) · Data Quality Checks · Error Handling & Monitoring