OMOP etl module

[tiadams]

Feature

Input: A Dataframe (csv/excel) + [optionally] DataDictionarySource

1. Map each column to the closest (OMOP) concept based on the data dictionary descriptions (if applicable) or column names (if not)
2. Create a etl pipeline (as part of a new module, e.g. etl.py) to convert input to OMOP

TBD

• Which terminologies/concepts are required to map to OMOP?
• Concept Identifers from OMOP / OHDSI source terminologies?
• Get OMOP IDs from Athena API call? (to be implemented)
• Extend DB schema to support OMOP?