.png){kind=logo}
Vetted SQL Query Optimization Professionals
Pre-screened and vetted.
Antoine Tan
Senior Full-Stack Software Engineer specializing in workflow automation and healthcare AI
“Backend/data engineer who has owned production Python APIs and high-throughput async workflows on AWS (FastAPI, Docker, ECS/EKS/Lambda) with mature reliability practices like idempotency, bounded retries, circuit breakers, and strong observability. Also built AWS Glue ETL into an S3/Redshift lakehouse and modernized legacy batch systems via parallel-run parity testing and feature-flagged migrations, including a SQL tuning win cutting a multi-minute query to under 10 seconds.”
Prudhvi Madhabathula
Mid-Level Full-Stack Java Engineer specializing in cloud-native web applications
“Full-stack engineer (Snowflake) who shipped an AI/LLM-powered data exploration product end-to-end, spanning Spring Boot/Python services and a polished React UI with streaming responses and robust fallbacks. Experienced operating high-scale AWS deployments (Docker/Kubernetes, SNS/SQS, RDS Postgres, CloudWatch, Jenkins CI/CD) supporting thousands to tens of thousands of concurrent users, including handling real traffic-spike scaling incidents.”
Chaithanya Konda
Mid-level Data Engineer specializing in multi-cloud analytics platforms
“Data engineer with hands-on GCP platform experience spanning BigQuery, Cloud SQL, Dataflow, and Cloud Composer, including both production operations and cloud migration work. They led a migration from legacy SQL Server/Oracle systems to a cloud-native BigQuery architecture and cite measurable impact: processing reduced from hours to minutes, query latency improved 60%+, and ingestion time improved 40%.”
Josh Rhoades
Executive Technology Leader (CTO) specializing in AI-enabled SaaS and regulated platforms
“Senior engineering leader with experience at Disney and BlackLine who drives business-aligned technology roadmaps through deep Product/Engineering partnership (two-in-a-box) and pragmatic prioritization frameworks. Has led major modernization initiatives—private-to-public cloud migration to GCP with multi-cloud evolution, data-layer performance improvements (Mongo/Redis, caching/query optimization), and tooling upgrades (VSS to GitHub)—while scaling teams with strong quality and accountability culture.”
Junior Software Engineer specializing in scalable systems and cloud infrastructure
Mid-level Data Analytics Engineer specializing in cloud data platforms and FinTech
Mid-level Full-Stack Developer specializing in cloud-native web applications
Mid-level Python Full-Stack Developer specializing in FinTech and real-time data/ML systems
Mid-Level Software Engineer specializing in distributed systems and AI/ML pipelines
Senior AI/ML Developer specializing in LLMs, RAG, and generative AI
Senior .NET Backend Developer specializing in microservices and event-driven systems
Mid-level Software Engineer specializing in backend systems and AI workflow automation
Mid-level Software Engineer specializing in cloud-native FinTech and distributed systems
Mid-level Software Engineer specializing in full-stack distributed systems
Intern Full-Stack Software Engineer specializing in cloud-native web platforms
Senior Backend Software Engineer specializing in AI-driven automation
Mid-level Software Engineer specializing in AI applications and distributed backend systems
Staff-level Backend Engineer specializing in distributed data platforms and AI infrastructure
Mid-Level Software Engineer specializing in fraud analytics and cloud-native microservices
Senior Solutions Architect specializing in cloud infrastructure, AI/LLM security, and data platforms