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Vetted Amazon SQS Professionals
Pre-screened and vetted.
Senior Data Engineer specializing in AWS serverless and real-time data platforms
Mid-level Software Engineer specializing in full-stack systems, AI, and cybersecurity
Junior Full-Stack Engineer specializing in AI agents, RAG, and distributed systems
Mid-level Data Engineer specializing in healthcare analytics and AI pipelines
Senior Full-Stack .NET Engineer specializing in cloud, APIs, and data platforms
Senior Cloud Operations Engineer specializing in SaaS and cloud infrastructure
Mid-level Python Developer specializing in cloud-native FinTech platforms
Mid-level Full-Stack Engineer specializing in iOS, web, and distributed systems
Senior DevOps & Site Reliability Engineer specializing in multi-cloud CI/CD and IaC
Senior Full-Stack Developer specializing in Java microservices and cloud platforms
Senior Data Engineer specializing in cloud data platforms and real-time streaming pipelines
Senior Full-Stack Engineer specializing in cloud-native Java microservices and GenAI
Senior Full-Stack Developer specializing in cloud-native microservices (AWS)
Rafael Ortega
Senior Full-Stack & AI Engineer specializing in LLM integrations and cloud-native systems
“Backend/data engineer with hands-on production experience building FastAPI Python APIs and AWS-native platforms (Lambda/API Gateway, SQS, ECS Fargate) with Terraform + GitHub Actions CI/CD and strong reliability practices (JWT/RBAC, retries/timeouts, structured errors/logging). Also built AWS Glue ETL pipelines (S3/RDS to curated S3/Athena) with schema evolution and data quality controls, modernized legacy processing via parallel-run validation and phased cutovers, and has demonstrated SQL tuning impact (seconds to <200ms) plus incident ownership for batch pipeline SLAs.”
Senior Software Engineer specializing in backend microservices and data platforms
Vigneshwari Shankiri
Senior Java Full-Stack Developer specializing in microservices and cloud platforms
“Frontend engineer who has led enterprise-scale UI delivery end-to-end on a microservices platform, designing modular Angular SPAs (v12-17) tightly aligned to Spring Boot REST APIs. Emphasizes quality and release velocity through layered testing (Karma/Jasmine), CI/CD automation (Jenkins/Azure DevOps), performance tuning with RxJS/lazy loading, and incremental rollouts with close product/design/QA collaboration.”
Nithin Reddy
Mid-Level Software Development Engineer specializing in distributed systems and event-driven architectures
“Built and maintained an internal JavaScript/React real-time event monitoring UI used by multiple Goldman Sachs teams (e.g., Private Wealth Management and Bulk Trading Systems). Focused on scaling performance under hundreds of events/sec—using profiling, memoization, batching, and debouncing—and paired it with strong internal documentation and disciplined incident diagnosis via synthetic load testing and logs/metrics.”
Pranit Chetta
Senior Full-Stack Java Engineer specializing in cloud-native AI and enterprise platforms
“Full-stack product engineer who owned a live-events digital ticketing platform end-to-end, including blockchain-based ticket validation and high-traffic booking flows. Stands out for combining Angular/React frontend work with Java/Spring Boot backend architecture, plus strong production reliability practices around concurrency control, queues, observability, and UX optimization.”