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Vetted Amazon RDS Professionals

Pre-screened and vetted.

AR

Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices and FinTech

5y exp
VorizoPittsburg State University
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AU

Senior Full-Stack Developer specializing in cloud-native microservices and modern web apps

United States8y exp
Cloud AIUniversity of Texas at Arlington
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BP

Junior Software Engineer specializing in C++ systems and cloud-native platforms

Fairport, NY2y exp
TracsisRochester Institute of Technology
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AR

Mid-level AI/ML Engineer specializing in MLOps and healthcare analytics

Houston, TX4y exp
Graviti EnergyUniversity of Texas at Arlington
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RB

Senior Full-Stack Product Engineer specializing in AI, Cloud, and regulated domains

Kansas City, MO4y exp
Nubes OpusUniversity of Central Missouri
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SP

Mid-level Full-Stack Developer specializing in Healthcare platforms

4y exp
Context 4 HealthcareNorthern Illinois University
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JM

Senior Full-Stack Software Engineer specializing in AI, cloud platforms, and payments

Remote4y exp
StashleteLondon South Bank University
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SG

Senior Full-Stack Engineer specializing in growth, analytics, and funnel optimization

California, USA8y exp
CherIndiana University
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PP

Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and SPAs

Guyton, GA5y exp
DXC TechnologyIllinois Institute of Technology
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OE

Senior DevSecOps Engineer specializing in AWS GovCloud, Kubernetes, and compliance automation

11y exp
Agile Defense
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MN

Senior Cloud & DevOps Engineer specializing in AWS, Azure, and GCP automation

Chicago, IL7y exp
MO
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AM

Senior Full-Stack Engineer specializing in Python, cloud-native microservices, and React

United States8y exp
TechLabScientists
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JR

Senior Full-Stack Engineer specializing in SaaS, LegalTech, and Web3

Toronto, Canada10y exp
Bittensor
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RO

Ridwan Oladipupo

Screened ReferencesStrong rec.

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

Halifax, Canada11y exp
ArticiPayDalhousie University

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.

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BR

Benjamin Ross

Screened

Senior Backend/Cloud Developer specializing in AWS serverless and legacy modernization

Tempe, Arizona12y exp
AcholyteMonmouth University

AWS-focused backend/data engineer with hands-on production experience building serverless APIs (Lambda/API Gateway) secured with Cognito/JWT, deploying via Terraform + CI/CD, and managing secrets with Secrets Manager/Parameter Store. Also built AWS Glue ETL from S3 to RDS with schema evolution and data-quality controls, modernized a monolith into microservices using parallel testing, and delivered major SQL performance gains (minutes to seconds) while owning incident response for batch pipelines.

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AS

Ashish Shah

Screened

Mid-level Data Engineer / Software Engineer specializing in streaming and cloud data platforms

Arlington, TX3y exp
The University of Texas at ArlingtonUniversity of Texas at Arlington

Backend engineer with deep Kafka/FastAPI microservices experience who redesigned a notification pipeline to cut end-to-end latency from ~5s to ~3s (including custom partition assignment and consumer tuning). Led a high-stakes ClickUp-to-Oracle migration of 1M+ records using idempotent ETL, reconciliation, and shadow deployment to achieve >99% integrity with zero downtime, and has hands-on production security implementation with Django/DRF (JWT + RBAC).

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RK

Rakesh Kumar

Screened

Mid-level Software Engineer specializing in cloud-native microservices, DevOps, and SRE

3y exp
XebiaUniversity of Central Missouri

Built and productionized an LLM-enhanced version of the WeDAA platform to auto-generate microservice architecture diagrams and support code generation from user prompts, including a practical solution for non-overlapping canvas object placement via coordinate templates. Experienced in diagnosing agentic workflow failures using AWS Strands agents with feature-flagged debug logging, and frequently supports sales through tailored demos and POCs to drive adoption.

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