diff --git a/fda_data_reader.py b/fda_data_reader.py
new file mode 100644
index 0000000..aefe13c
--- /dev/null
+++ b/fda_data_reader.py
@@ -0,0 +1,39 @@
+import requests, zipfile, io
+import pandas as pd
+import sqlite3 as sql
+
+#imports functions for downloading data making database
+from mdt_functions import zip_downloader, sql_create_table, db_query, read_sql_string
+
+
+#downloads urrent FDA NDCs.
+z = zip_downloader('https://www.accessdata.fda.gov/cder/ndctext.zip')
+
+#moves FDA files to sqlite database by reading as dataframes
+product = pd.read_csv(z.open('product.txt'),sep='\t',dtype=object,header=0,encoding='cp1252')
+package = pd.read_csv(z.open('package.txt'),sep='\t',dtype=object,header=0,encoding='cp1252')
+sql_create_table('product',product)
+sql_create_table('package',package)
+del product
+del package
+
+#deletes FDA ZIP
+del z
+
+
+
+#NOTE: Rob's python code to join one of these tables with the rxcui_ndc table goes here
+"""
+rxcui_ndc_string = read_sql_string('rxcui_ndc.sql')
+rxcui_ndc = db_query(rxcui_ndc_string)
+sql_create_table('rxcui_ndc', rxcui_ndc)
+del rxcui_ndc
+"""
+
+
+#TEST!!!!!!!!!!!!!!!! reads record count from created database
+product = db_query("Select count(*) AS records from product limit 1")
+print('DB table product has {0} records'.format(product['records'].iloc[0]))
+
+package = db_query("Select count(*) AS records from package limit 1")
+print('DB table package has {0} records'.format(package['records'].iloc[0]))