Developed a Node.js command-line interface (CLI) tool designed to aggregate and analyze compensation trends for Database Developers in the Cleveland aviation sector. The tool serves as a decision-support system, transforming raw market data into actionable negotiation strategies based on statistical baselines and candidate qualifications. Technical Execution & Key Features Data Aggregation Engine: Engineered a JavaScript-based normalization layer to ingest and standardize salary datasets from 6+ disparate sources (including BLS, Glassdoor, and Indeed) into a unified data structure. Statistical Analysis: Implemented algorithms to calculate weighted averages, identify hourly/annual variance ranges, and segment compensation tiers by experience level (Entry to Senior). Business Logic Implementation: Coded specific industry logic to account for aviation sector premiums (5-15% variance) and qualification-based multipliers, allowing for highly specific market valuations. Strategic Output Generation: Designed the system to output calculated negotiation bounds, differentiating between "Initial Ask" and "Minimum Acceptable" rates based on real-time market conditions and candidate certification matching.