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Vetted Amazon SNS Professionals
Pre-screened and vetted.
Mid-level Data Engineer specializing in cloud ETL, big data, and analytics
Senior Data Engineer specializing in AWS cloud data platforms and streaming analytics
Senior Cloud Engineer specializing in AWS & Azure infrastructure, security, and automation
Mid-level Backend Software Engineer specializing in cloud-native microservices and AI automation
Senior Full-Stack Engineer specializing in React, Java/Spring Boot, and Python microservices
Senior Cloud & DevOps Engineer specializing in AWS, Kubernetes, IaC, and cloud security
Senior Machine Learning Engineer specializing in MLOps and Generative AI
Staff Software Architect and Engineering Lead specializing in cloud and data platforms
Mid-level Full-Stack Developer specializing in cloud-native enterprise applications
Staff Software Engineer specializing in Java, cloud platforms, and distributed systems
Mid-level Full-Stack Developer specializing in FinTech and Healthcare IT
Director-level Engineering Leader specializing in cloud platforms, AI/ML, and scalable SaaS
Senior Full-Stack Developer specializing in cloud-native FinTech microservices and React
Mid-level Full-Stack Developer specializing in cloud-native microservices
Principal Automation Architect specializing in cloud DevOps, microservices, and MLOps
Senior Full-Stack Java Developer specializing in Spring Boot microservices and cloud platforms
Vincent Fearing
Junior Full-Stack Engineer specializing in FinTech systems
“Full-stack engineer with deep experience in high-stakes integrations: owned end-to-end fintech payment notification/installment tracking at an early-stage startup (FastAPI/React/AWS), including multi-environment routing for live banking partners and reliability patterns like idempotency and retries. Also built a Coachella partner ticketing platform (React/TS/Node/Postgres) with strong concurrency controls and zero-downtime migrations, and previously delivered media-asset ETL/file-sharing automation at Sony Pictures using Frame.io with checksum-verified transfers.”
JaswanthRaj Bantu Aindla
Mid-level Python Developer specializing in cloud-native microservices for FinTech and Insurance
“Backend/data engineer who has maintained high-traffic FastAPI microservices and delivered a hybrid AWS serverless+containers platform using Terraform and GitHub Actions, with secrets managed via Secrets Manager/SSM. Also led modernization of a mission-critical 10,000+ line SAS financial reporting engine into Python microservices and built AWS Glue ETL pipelines feeding a centralized data lake.”
GOWRI SHANKAR ANANTHULA
Mid-level Data Scientist & Generative AI Engineer specializing in LLMs and RAG
“ML/NLP practitioner who built a retrieval-augmented generation (RAG) system for large financial and operational document sets using Sentence-Transformers (all-mpnet-base-v2) and a vector DB (e.g., Pinecone), with a strong focus on retrieval evaluation and chunking strategy optimization. Experienced in entity resolution (rules + embedding similarity with type-specific thresholds) and in productionizing scalable Python data workflows using Airflow/Dagster and Spark.”
Ronak Seth
Mid-level DevOps & Systems Engineer specializing in AWS, Kubernetes, and CI/CD automation
“Cloud/DevOps engineer (6+ years) with healthcare domain experience who has owned production AWS systems end-to-end—building real-time data pipelines and an admission forecasting ML service delivered via API and Tableau. Led EMR modernization from on-prem/VMs to containerized AWS using phased migration and blue-green deployments, achieving ~99.5% uptime while cutting on-prem footprint ~30% and driving major automation gains (up to ~90% manual work reduction).”