Building SELECT lists with SQL

If you are using SQL for ingestion and you want to rename columns

PascalCase to snake_case

-- PascalCase to snake_case
-- , OtherNFLStats AS other_nfl_stats

SELECT
    CONCAT(', ', column_name, ' AS ', LOWER(
      REGEXP_REPLACE(
        REGEXP_REPLACE(column_name, '([a-z0-9])([A-Z])', '$1_$2'), -- Pass 1: Lower to Upper
        '([A-Z])([A-Z][a-z])', '$1_$2'                             -- Pass 2: Acronym to Word
      )
    )) AS formatted_column
FROM information_schema.columns
WHERE table_name = 'my_table'
    AND table_schema = 'my_schema'
ORDER BY ordinal_position;

PascalCase to snake_case with substitution

-- PascalCase to snake_case
-- , OverageAmount AS overage_amt
WITH RawColumns AS (
    SELECT  column_name
        , LOWER(
            REGEXP_REPLACE(
                REGEXP_REPLACE(column_name, '([a-z0-9])([A-Z])', '$1_$2')
                , '([A-Z])([A-Z][a-z])', '$1_$2'
            )
        ) AS snake_name
    FROM information_schema.columns
    WHERE table_name = 'my_table'
    AND table_schema = 'my_schema'
)
SELECT CONCAT(', ', column_name, ' AS ', 
        AGGREGATE( -- AGGREGATE is Spark-specific (thus applicable to databricks)
            -- Define the list of [pattern, replacement]
            ARRAY(
                  STRUCT('_amount$'      AS pat, '_amt' AS rep)
                , STRUCT('_percent$'     AS pat, '_pct' AS rep)
                , STRUCT('_flag$'        AS pat, '_flg' AS rep)
                , STRUCT('_code$'        AS pat, '_cd'  AS rep)
                , STRUCT('_number$'      AS pat, '_nbr' AS rep)
                , STRUCT('_name$'        AS pat, '_nm'  AS rep)
                , STRUCT('_description$' AS pat, '_dsc' AS rep)
                , STRUCT('_desc$'        AS pat, '_dsc' AS rep)
                , STRUCT('_date$'        AS pat, '_dts' AS rep)
            )
            , snake_name -- Initial value
            , (acc, x) -> REGEXP_REPLACE(acc, x.pat, x.rep) -- Iterative function
        )
    ) AS formatted_column
FROM RawColumns
ORDER BY column_name;

snake_case to PascalCase + custom rules + suffix

-- snake_case to PascalCase with suffix substitution
WITH base AS (
    SELECT
          column_name
        , CASE 
            WHEN column_name LIKE '%\_%' THEN  ARRAY_JOIN( TRANSFORM(SPLIT(LOWER(column_name), '_'), x -> INITCAP(x) ), '' )  -- underscore to PascalCase
            ELSE INITCAP(column_name)
          END AS pascal_name
        , ordinal_position
    FROM my_catalog.information_schema.columns
    WHERE table_schema = 'my_schema'
        AND table_name = 'my_table'
)
SELECT 
    CASE  
        -- Parsed Excel files 
        WHEN column_name = '_FILENAME' THEN CONCAT(', ', 'regexp_extract(', column_name, ', \'[^/]+$\', 0)', ' AS FileNM') 
        WHEN column_name = '_ROW_NUM' THEN CONCAT(', ', column_name, ' AS RowNBR')  
        WHEN column_name = '_SHEETNAME' THEN CONCAT(', ', column_name, ' AS SheetNM') 
        -- metadata cols 
        WHEN column_name = 'hcsys_file_name' THEN CONCAT(', ', 'regexp_extract(', column_name, ', \'[^/]+$\', 0)', ' AS FileNM') -- SourceHCSystemFileNM? 
        WHEN column_name = 'hcsys_row_num' THEN CONCAT(', ', column_name, ' AS SourceHCSystemRowNBR') 
        WHEN column_name = 'meta_updated' THEN CONCAT(', ', column_name, ' AS  EDWLastModifiedDTS') 
        WHEN column_name = 'meta_deleted' THEN CONCAT(', ', column_name, ' AS MetaDeletedFLG') 
        WHEN column_name = 'meta_surrogate_key' THEN CONCAT(', ', column_name, ' AS MetaSurrogateKeyID') 
        WHEN column_name = 'meta_checksum' THEN CONCAT(', ', column_name, ' AS MetaChecksumID') 
        WHEN column_name = 'meta_location' THEN CONCAT(', ', column_name, ' AS MetaLocationDSC')        
        -- Replace end word w/ suffix 
        WHEN pascal_name RLIKE '(?i)Amount$' THEN CONCAT(', ', column_name, ' AS ', REGEXP_REPLACE(pascal_name, '(?i)Amount$', 'AMT')) 
        WHEN pascal_name RLIKE '(?i)Percent$' THEN CONCAT(', ', column_name, ' AS ', REGEXP_REPLACE(pascal_name, '(?i)Percent$', 'PCT')) 
        WHEN pascal_name RLIKE '(?i)Flag$' THEN CONCAT(', ', column_name, ' AS ', REGEXP_REPLACE(pascal_name, '(?i)Flag$', 'FLG')) 
        WHEN pascal_name RLIKE '(?i)Code$' THEN CONCAT(', ', column_name, ' AS ', REGEXP_REPLACE(pascal_name, '(?i)Code$', 'CD')) 
        WHEN pascal_name RLIKE '(?i)Number$' THEN CONCAT(', ', column_name, ' AS ', REGEXP_REPLACE(pascal_name, '(?i)Number$', 'NBR')) 
        WHEN pascal_name RLIKE '(?i)Name$' THEN CONCAT(', ', column_name, ' AS ', REGEXP_REPLACE(pascal_name, '(?i)Name$', 'NM')) 
        WHEN pascal_name RLIKE '(?i)Description$' THEN CONCAT(', ', column_name, ' AS ', REGEXP_REPLACE(pascal_name, '(?i)Description$', 'DSC')) 
        WHEN pascal_name RLIKE '(?i)Desc$' THEN CONCAT(', ', column_name, ' AS ', REGEXP_REPLACE(pascal_name, '(?i)Desc$', 'DSC')) 
        WHEN pascal_name RLIKE '(?i)Date$' THEN CONCAT(', try_to_timestamp(', column_name, ', \'yyyy-MM-dd HH:mm:ss\') AS ', REGEXP_REPLACE(pascal_name, '(?i)Date$', 'DTS'))  -- chg to try_to_date if no time data 
        WHEN pascal_name RLIKE '(?i)Count$' THEN CONCAT(', ', column_name, ' AS ', REGEXP_REPLACE(pascal_name, '(?i)Count$', 'CNT')) 
        WHEN pascal_name RLIKE '(?i)Id$' THEN CONCAT(', ', column_name, ' AS ', REGEXP_REPLACE(pascal_name, '(?i)Id$', 'ID')) 
        WHEN pascal_name RLIKE '(?i)Address1$' THEN CONCAT(', ', column_name, ' AS ', REGEXP_REPLACE(pascal_name, '(?i)Address1$', 'Address01TXT')) 
        WHEN pascal_name RLIKE '(?i)Address2$' THEN CONCAT(', ', column_name, ' AS ', REGEXP_REPLACE(pascal_name, '(?i)Address2$', 'Address02TXT')) 
        -- Appended suffixes 
        WHEN pascal_name RLIKE '(?i)Gender$' THEN CONCAT(', ', column_name, ' AS ', CONCAT(pascal_name, 'CD')) 
        WHEN pascal_name RLIKE '(?i)Age$' THEN CONCAT(', ', column_name, ' AS ', CONCAT(pascal_name, 'NBR')) 
        WHEN pascal_name RLIKE '(?i)Address$' THEN CONCAT(', ', column_name, ' AS ', CONCAT(pascal_name, 'TXT')) 
        WHEN pascal_name RLIKE '(?i)City$' THEN CONCAT(', ', column_name, ' AS ', CONCAT(pascal_name, 'NN')) 
        WHEN pascal_name RLIKE '(?i)State$' THEN CONCAT(', ', column_name, ' AS ', CONCAT(pascal_name, 'NN')) 
        WHEN pascal_name RLIKE '(?i)Zip$' THEN CONCAT(', ', column_name, ' AS ', CONCAT(pascal_name, 'CD'))   
        WHEN pascal_name RLIKE '(?i)Phone$' THEN CONCAT(', ', column_name, ' AS ', CONCAT(pascal_name, 'NBR')) 
        WHEN pascal_name RLIKE '(?i)Fax$' THEN CONCAT(', ', column_name, ' AS ', CONCAT(pascal_name, 'NBR')) 
        WHEN pascal_name RLIKE '(?i)Active$' THEN CONCAT(', ', column_name, ' AS ', CONCAT(pascal_name, 'FLG')) 
        ELSE CONCAT(', ', column_name, ' AS ', pascal_name, 'TXT') 
    END AS c 
FROM base 
ORDER BY ordinal_position;