I will build python data processing and automation scripts with pandas

Im a data engineer with 8 years building production systems in the securities industry, where accuracy and deadlines are non-negotiable.

WHAT YOU GET:

• Production-ready ETL/ELT pipelines for trade, position, market, reference, or P&L data built in Python/SQL and orchestrated with Airflow, dbt, or cloud-native tools.
• Clean, documented schemas and data models designed for reconciliation, audit trails, and downstream reporting.
• Data-quality checks and exception reports to catch breaks, duplicates, missing fields, stale prices, and timing issues before they hit production.
• Automation or performance tuning that reduces manual Excel work, cuts runtime, and makes daily/periodic loads repeatable.

WHY ME:

8 years delivering data pipelines and reporting for securities firms, including trade processing, positions, market data, and ops/regulatory reporting. I build for accuracy, traceability, and deadlines not just it runs.

REQUIREMENTS please provide:

• Sample data or anonymized extract (CSV/Excel/JSON/API response)
• Source and target schema, or field mapping if available
• Expected output format and business rules (e.g., reconciliation logic, identifiers, timestamps)
• Delivery deadline and preferre