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A Python-based ETL pipeline that extracts personal finance transaction data from CSV files, transforms it using pandas, and loads it into a PostgreSQL database with star schema modeling. Demonstrates core data engineering fundamentals with proper error handling and data quality checks.
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13
commits
feat(etl): add pipeline orchestration and CLI interface
cbc83dbView on GitHubfeat(etl): implement load module with incremental loading
2668884View on GitHubfeat(tests): implement comprehensive tests for transform module
de8304aView on GitHubfeat(tests): implement pytest fixtures, parametrization, and markers
97b638fView on GitHubfeat(etl): implement transform module with data quality checks
c6c187aView on GitHubfeat(schema): implement star schema for finance data warehouse
320e5ffView on GitHubfeat(database): add PostgreSQL setup documentation and test
2c24e8bView on GitHubfeat(setup): initialize project structure and dependencies
681e0a8View on GitHub