GitHub - nagaraju-12/Bank-customer-pyspark-project: A complete mini-project demonstrating how to process, clean, and analyze 100,000 synthetic bank transaction records using PySpark in Databricks. It includes real-world data engineering tasks like data ingestion, null handling, feature engineering, transaction grouping, and business-level reporting, with output stored in Parquet format for BI-ready.

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Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
Data		Data
Notebooks		Notebooks
Output		Output
README_Bank_PySpark_Project.md		README_Bank_PySpark_Project.md

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A complete mini-project demonstrating how to process, clean, and analyze 100,000 synthetic bank transaction records using PySpark in Databricks. It includes real-world data engineering tasks like data ingestion, null handling, feature engineering, transaction grouping, and business-level reporting, with output stored in Parquet format for BI-ready.

big-data apache-spark etl jupyter-notebook pyspark data-engineering databricks real-world-project banking-data