Cloud SecOps Monitoring & Automation
Overview
This project transformed a highly manual and time-consuming compliance reporting process into a streamlined, automated pipeline. Previously, security analysts had to manually collect data, transfer files between local and lab environments, process data, and manually compose summary emails with complex graphs. This automation handles the entire lifecycle—from data ingestion and processing to the final delivery of executive-ready reports.
The Solution
I developed a comprehensive Python-based automation suite that handles secure file transfers between environments using SSL/TLS. The core engine utilizes Pandas for high-speed data processing and visualization, generating dynamic graphs and reports. A custom email generation script was implemented using HTML/CSS templates to automatically compose and send professional summary reports via SMTP, ensuring consistent and timely delivery of critical security metrics.