doc: Fix typo and space (#420)

Signed-off-by: Neil Shah <shahneil88@gmail.com>

README.md

@@ -326,27 +326,28 @@ job.launch()
 #### [SnowflakeMetadataExtractor](https://github.com/amundsen-io/amundsendatabuilder/blob/master/databuilder/extractor/snowflake_metadata_extractor.py "SnowflakeMetadataExtractor")
 An extractor that extracts table and column metadata including database, schema, table name, table description, column name and column description from a Snowflake database.
 
-By default, the Snowflake database name is used as the cluter name. To override this, set `USE_CATALOG_AS_CLUSTER_NAME`
+By default, the Snowflake database name is used as the cluster name. To override this, set `USE_CATALOG_AS_CLUSTER_NAME`
 to `False`, and `CLUSTER_KEY` to what you wish to use as the cluster name.
 
 By default, the Snowflake database is set to `PROD`. To override this, set `DATABASE_KEY`
 to `WhateverNameOfYourDb`.
 
 By default, the Snowflake schema is set to `INFORMATION_SCHEMA`. To override this, set `SCHEMA_KEY`
-to `WhateverNameOfYourSchema`. Note that `ACCOUNT_USAGE` is a separate schema
-which allows users to query a wider set of data at the cost of latency.
+to `WhateverNameOfYourSchema`. 
+
+Note that `ACCOUNT_USAGE` is a separate schema which allows users to query a wider set of data at the cost of latency.
 Differences are defined [here](https://docs.snowflake.com/en/sql-reference/account-usage.html#differences-between-account-usage-and-information-schema)
 
-The `where_clause_suffix` below should define which schemas you'd like to query (see [the sample dag](https://github.com/amundsen-io/amundsendatabuilder/blob/master/example/scripts/sample_snowflake_data_loader.py) for an example).
+The `where_clause_suffix` should define which schemas you'd like to query (see [the sample dag](https://github.com/amundsen-io/amundsendatabuilder/blob/master/example/scripts/sample_snowflake_data_loader.py) for an example).
 
 The SQL query driving the extraction is defined [here](https://github.com/amundsen-io/amundsendatabuilder/blob/master/databuilder/extractor/snowflake_metadata_extractor.py)
 
 ```python
 job_config = ConfigFactory.from_dict({
-	'extractor.snowflake.{}'.format(SnowflakeMetadataExtractor.SNOWFLAKE_DATABASE_KEY): 'YourDbName',
-	'extractor.snowflake.{}'.format(SnowflakeMetadataExtractor.WHERE_CLAUSE_SUFFIX_KEY): where_clause_suffix,
-       'extractor.snowflake.{}'.format(SnowflakeMetadataExtractor.USE_CATALOG_AS_CLUSTER_NAME): True,
-	'extractor.snowflake.extractor.sqlalchemy.{}'.format(SQLAlchemyExtractor.CONN_STRING): connection_string()})
+    'extractor.snowflake.{}'.format(SnowflakeMetadataExtractor.SNOWFLAKE_DATABASE_KEY): 'YourDbName',
+    'extractor.snowflake.{}'.format(SnowflakeMetadataExtractor.WHERE_CLAUSE_SUFFIX_KEY): where_clause_suffix,
+    'extractor.snowflake.{}'.format(SnowflakeMetadataExtractor.USE_CATALOG_AS_CLUSTER_NAME): True,
+    'extractor.snowflake.extractor.sqlalchemy.{}'.format(SQLAlchemyExtractor.CONN_STRING): connection_string()})
 job = DefaultJob(
 	conf=job_config,
 	task=DefaultTask(