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As a data engineer you will find this code insightful and handy. These are some code example of situations that i faced or something that i found was helpful and worth sharing

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Name		Name	Last commit message	Last commit date
Latest commit History 139 Commits
sankey		sankey
template		template
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
StringParser_csv.py		StringParser_csv.py
athena_connect.py		athena_connect.py
bobjBusinessLayerExport.py		bobjBusinessLayerExport.py
bobjEntityJoinExport.py		bobjEntityJoinExport.py
columnCountInFile.py		columnCountInFile.py
dataframe_window.py		dataframe_window.py
dataset_column_values.py		dataset_column_values.py
dataset_timeseries.py		dataset_timeseries.py
datasets_merging.py		datasets_merging.py
datasets_using_jinja_and_sql.py		datasets_using_jinja_and_sql.py
delete_duplicates.sql		delete_duplicates.sql
downloadFiles_sftp.py		downloadFiles_sftp.py
dynamic_cols_using_pivot.py		dynamic_cols_using_pivot.py
email_extract.py		email_extract.py
execCmdFromLocalOnServer.py		execCmdFromLocalOnServer.py
executing_commands_on_server.py		executing_commands_on_server.py
exportToExcel.py		exportToExcel.py
exportToWord.py		exportToWord.py
exportingToPDF.py		exportingToPDF.py
fixedWidthHeaderFile.py		fixedWidthHeaderFile.py
flask_api.py		flask_api.py
flattening_dict.py		flattening_dict.py
flattening_mongoCollection.py		flattening_mongoCollection.py
flattening_mongoConnect.py		flattening_mongoConnect.py
getHeaderCSV.py		getHeaderCSV.py
getting_cleanJSON.py		getting_cleanJSON.py
graph_node_edge_analysis.py		graph_node_edge_analysis.py
graphviz.py		graphviz.py
hana.sql		hana.sql
imageProcessing.py		imageProcessing.py
interesting_sql.sql		interesting_sql.sql
list_operations.scala		list_operations.scala
multiprocessing_dynamic.py		multiprocessing_dynamic.py
nltk_breakContinuousWord.py		nltk_breakContinuousWord.py
pandas_dataframe_properties.py		pandas_dataframe_properties.py
postgres_access.py		postgres_access.py
postgres_csvInsert.py		postgres_csvInsert.py
postgres_jsonb.sql		postgres_jsonb.sql
practice_1.sql		practice_1.sql
presto_functions.sql		presto_functions.sql
proj_lendingData.py		proj_lendingData.py
python_functions.py		python_functions.py
python_jdbc.py		python_jdbc.py
s3download.py		s3download.py
salesforce_metadata.py		salesforce_metadata.py
salesforce_metadata_reports.py		salesforce_metadata_reports.py
smartSheets.py		smartSheets.py
sqlParse.sql		sqlParse.sql
sql_parsing.scala		sql_parsing.scala
stringMatch.py		stringMatch.py
tableau_extract.py		tableau_extract.py
tableau_metadata.py		tableau_metadata.py
volthread.java		volthread.java
voltthreadrun.java		voltthreadrun.java
window_Functions.sql		window_Functions.sql
z_datasets.txt		z_datasets.txt
z_links.txt		z_links.txt

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As a data engineer you will find this code insightful and handy. These are some code example of situations that i faced or something that i found was helpful and worth sharing

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