I help businesses automate data-heavy workflows and testing using Python and modern QA practices. With over 10 years of experience in financial services, most recently as a Senior Quality Engineer at S&P Global, I have delivered robust automation for processing messages, Excel/PDF/DOC files, web scraping and change detection, AWS data migrations, and regression test suites for complex financial platforms. This work has eliminated thousands of hours of manual effort while maintaining 100% data accuracy.
I offer Python-based automation, QA, and data engineering support for web and data platforms, with a strong focus on financial and other data‑intensive applications.
Typical services include:
Python automation scripts for parsing message inboxes and attachments (Excel/PDF/DOC) and performing data validation
Web scraping and change-detection workflows for monitoring websites and regulatory filings
Test automation for web and APIs (functional, regression, and performance using JMeter and Pytest)
AWS-based data pipelines and migrations between DynamoDB, SQL Server, and PostgreSQL
Database validation, difference-checking, and reporting dashboards (Power BI)
Selected results:
Automated QA for 11,000+ proxy filings, saving 1,962 manual hours per year
Migrated 3+ years of historical message archives with 100% success using a Python parser
Reduced an AWS data migration from 16 hours to 1 hour with zero data loss
I can design, build, and maintain end‑to‑end automation and QA solutions so your team can focus on higher‑value work instead of repetitive tasks.