Describe a time you used SQL to solve a data problem and complemented it with Python when needed.
Explain the problem, the SQL analysis, why Python was useful, and how you validated the result. For the SQL portion, return entities with multiple records in January 2025 and summarize their records and unresolved quality flags.
entity_key, with entity_key, record_count, total_amount, and unresolved_flag_count.total_amount descending, then entity_key ascending.| Column | Type | Description |
|---|---|---|
| record_idPK | INT | Unique identifier for the record |
| entity_key | VARCHAR(50) | Identifier used to associate records with the same entity |
| recorded_at | DATE | Date on which the record was created |
| amount | DECIMAL(10,2) | Numeric value associated with the record |
| Column | Type | Description |
|---|---|---|
| flag_idPK | INT | Unique identifier for the quality flag |
| record_id | INT | Referenced data record |
| flag_type | VARCHAR(40) | Category of the quality issue |
| resolved_at | DATE | Date the flag was resolved, or null if unresolved |