I have a set of legacy, SQL-based database files that have begun to slow down as our data volume has grown. My main objective is to modernize these files so they run efficiently on current-generation systems. I do not need a full-scale redesign or security overhaul right now—pure performance improvement is the priority. Here is what I need done: • Examine the existing SQL files, identify bottlenecks, and propose optimizations such as indexing, query refactoring, or engine-specific tuning. • Migrate or convert the files to a modern relational engine if that will yield measurable speed gains (MySQL, PostgreSQL, or a similar open-source platform are all acceptable). • Carry out light text editing within relevant data fields—standardizing spelling, fixing obvious typos, and ensuring naming consistency—to prevent data quality issues after the upgrade. • Provide a concise report that summarizes the changes, the rationale behind each adjustment, and before-vs-after performance metrics. Acceptance criteria: 1. The optimized database must demonstrate a clear, documented improvement in query response times under the same workload. 2. No data loss or corruption may occur; spot checks and validation scripts should confirm integrity. 3. Edited text fields must remain semantically identical while being cleaner and more uniform. I will make myself available to supply sample data, current schema diagrams, or performance logs you may need for your assessment. Let me know the toolset you prefer so I can grant access or spin up the right environment quickly.