d = {'response': {'body': {'contact': {'email': 'mr@abc.com',
    'mobile_number': '0123456789'}, 'personal': {'last_name': 'Muster',
    'gender': 'm', 'first_name': 'Max', 'dob': '1985-12-23',
    'family_status': 'single', 'title': 'Dr.'}, 'customer': {'verified':
    'true', 'customer_id': '1234567'}}, 'token': 'dsfgf', 'version': '1.1'}}
df = pd.io.json.json_normalize(d)
df.columns = df.columns.map(lambda x: x.split('.')[-1])
Nested Json to pandas DataFrame with specific format