data pipeline updates#6
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- Add data quality validation functions with null checks, freshness validation, duplicate detection, and referential integrity checks - Implement error handling and logging utilities with pipeline execution tracking and safe transformation procedures - Create automated data profiling system with statistics, quality scoring, and batch processing capabilities - Enhance Streamlit application with interactive dashboard, multi-tab interface, filtering, correlations analysis, and data export - Add centralized configuration management system with YAML config and Python manager for database, pipeline, and monitoring settings 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
Minor whitespace and formatting adjustments across transformation scripts and delivery applications to improve code consistency and readability. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
Clean up formatting in the profile_all_tables procedure by removing unnecessary blank line. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
Remove redundant title comments and extra blank lines from data quality checks and error handling scripts for cleaner code structure. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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