Marty Ross

I designed and delivered an end-to-end serverless compliance-monitoring and alerting pipeline to enforce Testing Maturity Model (TMM) standards across thousands of enterprise applications.

Faced with fragmented data silos, I architected a Golang-based AWS Lambda function that triggers on a scheduled cron cadence. The engine executes highly optimized, complex SQL joins across disparate relational enterprise databases to dynamically identify non-compliant applications in real time. To automate organizational governance without adding operational overhead, the pipeline cross-references compliance gaps against an active stakeholder registry maintained securely in an Amazon S3 bucket.

The system seamlessly orchestrates multi-channel notifications, instantly dispatching targeted alerts via Slack webhooks and automated emails to the exact engineering leads responsible. This lightweight "soup-to-nuts" automation eliminated manual auditing and drastically accelerated compliance remediation across the entire enterprise.

I collaborated with the product architect to design and roll out a unified Equipment Control Interface (ECI) facade for the Navis N4 Terminal Operating System (TOS). This strategic refactoring decoupled the core TOS business logic from the fragmented technical specifics of third-party Equipment Control (EC) platforms.

By standardizing vendor-specific EC platforms into a single common interface, the TOS gained a unified "view of the world." This abstraction facade slashed new EC onboarding times by 75% by isolating vendor-specific code and testing liabilities, while accelerating TOS core feature time-to-market.

This layer also enabled unified observability. I integrated performance metrics for Grafana and engineered a custom telemetry tool that parsed logs on-demand to dynamically render markdown sequence diagrams, giving instant visibility into complex TOS-to-EC transactions and reducing MTTR by 15%.

A versatile command-line application designed to transform flight data obtained from AeroAPI into dynamic visualizations using the Keyhole Markup Language (KML). This tool enables users to replay flights in KML client renderers such as Google Earth.