Below is for BigQuery Standard SQL
#standardSQL
SELECT id,
MAX(IF(key = 'Email', value, NULL)) AS Email,
MAX(IF(key = 'PhoneNumber', value, NULL)) AS PhoneNumber,
MAX(IF(key = 'FirstName', value, NULL)) AS FirstName,
MAX(IF(key = 'LastName', value, NULL)) AS LastName,
MAX(IF(key = 'Dateofbirth', value, NULL)) AS Dateofbirth
FROM `project.dataset.table`,
UNNEST(ARRAY(
SELECT AS STRUCT
REPLACE(JSON_EXTRACT_SCALAR(json, '$.key'), ' ', '') AS key,
JSON_EXTRACT_SCALAR(json, '$.value') AS value
FROM UNNEST(json_array) json
))
GROUP BY id
You can test, play with above using sample data from your question as in below example
#standardSQL
WITH `project.dataset.table` AS (
SELECT 1 id, [
'{"key":"Email","slug":"customer-email","value":"[email protected]"}',
'{"key":"Phone Number","slug":"mobile-phone-number","value":"123456789"}',
'{"key":"First Name","slug":"first-name","value":"abc"}',
'{"key":"Last Name","slug":"last-name","value":"xyz"}',
'{"key":"Date of birth","slug":"date-of-birth","value":"01/01/1990"}'
] json_array
)
SELECT id,
MAX(IF(key = 'Email', value, NULL)) AS Email,
MAX(IF(key = 'PhoneNumber', value, NULL)) AS PhoneNumber,
MAX(IF(key = 'FirstName', value, NULL)) AS FirstName,
MAX(IF(key = 'LastName', value, NULL)) AS LastName,
MAX(IF(key = 'Dateofbirth', value, NULL)) AS Dateofbirth
FROM `project.dataset.table`,
UNNEST(ARRAY(
SELECT AS STRUCT
REPLACE(JSON_EXTRACT_SCALAR(json, '$.key'), ' ', '') AS key,
JSON_EXTRACT_SCALAR(json, '$.value') AS value
FROM UNNEST(json_array) json
))
GROUP BY id
with output
Row id Email PhoneNumber FirstName LastName Dateofbirth
1 1 [email protected] 123456789 abc xyz 01/01/1990