## 1. Implementation
- [x] 1.1 Replace Python list-based deduplication with vectorized PyArrow operations
- [x] 1.2 Implement chunked processing for large datasets
- [x] 1.3 Optimize `deduplicate_parquet_dataset_pyarrow()` using PyArrow's built-in operations
- [x] 1.4 Add streaming processing for merge operations
- [x] 1.5 Implement proper batch processing for large table operations

## 2. Performance Testing
- [x] 2.1 Benchmark performance with datasets >1GB
- [x] 2.2 Compare old vs new implementations
- [x] 2.3 Test memory usage patterns
- [x] 2.4 Verify scalability improvements

## 3. Validation
- [x] 3.1 Ensure correctness with various dataset sizes
- [x] 3.2 Test edge cases and error scenarios
- [x] 3.3 Validate results match previous implementations
