Vetted SQL Query Optimization Professionals

“Backend engineer focused on reliability and production operations, with hands-on experience implementing an outbox pattern to keep database updates and downstream events consistent. They also described diagnosing transaction-related latency under heavy client traffic and using monitoring data to validate performance improvements, showing a pragmatic, systems-oriented approach to scaling integrations.”

Ridwan Oladipupo

Screened ReferencesStrong rec.

Senior Frontend Engineer specializing in React, Node.js, and AWS

Halifax, Canada11y exp

“Frontend engineer who led the Dash Merchant App and Backoffice platform (React/TypeScript/Redux) supporting $50M+ in monthly transactions. Focused on scalable architecture and reliability—introduced typed API layers, centralized error handling, and performance optimizations (including ~40% load-time reduction) while driving team adoption through incremental refactors, templates, and pairing.”

“Frontend engineer who leads high-impact refactors and rebuilds end-to-end, including migrating a legacy Next.js frontend to React + Vite and consolidating fragmented styling into a single MUI Joy design system. Has deep experience improving performance and maintainability in complex, data-heavy UIs (orders/financial pages, multi-step editing flows) through modularization, query optimization, and shared context patterns, with strong QA discipline for sensitive financial actions.”

“Built and deployed a production LLM-powered text-to-SQL/document intelligence chatbot on AWS that lets non-technical business users query complex enterprise databases in plain English. Demonstrates deep practical expertise in schema-aware prompting, embeddings-based schema retrieval, SQL safety/validation guardrails, and rigorous offline/online evaluation with human-in-the-loop approvals for risky queries.”

“Analytics professional with operations-grounded experience at WWEX Group who built a Snowflake/dbt fleet-efficiency data model combining telematics, ERP, and driver logs into near real-time executive reporting. They pair strong SQL/Python workflow automation with practical stakeholder enablement, and cite measurable impact including cutting reporting time from 72 hours to 15 minutes and helping drive $450K in quarterly fuel savings.”

“Entrepreneur with education administration experience now forming an AI-in-education startup concept focused on augmenting instruction with better AI tools. Previously opened and scaled a coffee roasting franchise in Asia into cafes and exited after strengthening the business financially, demonstrating international regulatory navigation and government relationship-building.”