Financial Reconciliation Script
High-performance Python script engineered for cross-referencing multi-source ledger data with 99.9% accuracy and automated discrepancy reporting.
What's Inside
Multi-Source Ingestion
Connects to CSV, Excel, SQL databases, and REST APIs to pull ledger data from any source.
Fuzzy Matching Engine
Intelligent transaction matching using configurable similarity thresholds and custom rules.
Discrepancy Reports
Generates detailed HTML/PDF reports with flagged mismatches, suggested resolutions, and audit trails.
Scheduled Execution
Cron-compatible design for daily automated reconciliation with Slack/email notifications.
Performance Benchmarks
Accuracy
99.9%
Speed (100k rows)
94%
Memory Efficiency
87%
Code Preview
reconcile.py
from reconciler import Engine, Config
config = Config(
sources=["bank_ledger.csv", "erp_export.xlsx"],
match_threshold=0.95,
output_format="html",
notify=["[email protected]"]
)
engine = Engine(config)
report = engine.run()
print(f"Matched: {report.matched_count}")
print(f"Discrepancies: {report.discrepancy_count}")
print(f"Report: {report.output_path}")