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Vetted MySQL Professionals

Pre-screened and vetted.

SK

Mid-level Data Engineer specializing in AI/ML and cloud data platforms

Redmond, WA6y exp
NetflixGeorge Mason University
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DL

Senior Software Engineer specializing in scalable backend microservices and cloud platforms

Irving, TX11y exp
CapgeminiBoston University
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PT

Intern Software Engineer specializing in full-stack and cloud infrastructure

Menlo Park, CA2y exp
MetaUC Riverside
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JT

Junior Software Engineer specializing in full-stack web and data platforms

Claremont, CA2y exp
MicrosoftHarvey Mudd College
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DG

Mid-level Full-Stack Developer specializing in cloud-native microservices

California, USA4y exp
MetaSaint Louis University
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CB

Senior Software Engineer specializing in full-stack web/mobile apps and cloud-native systems

Winnetka, IL11y exp
AdobeIllinois State University
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DL

Staff Software Engineer specializing in streaming platforms and AI-driven experiences

Seattle, WA12y exp
AmazonClemson University
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CZ

Senior Full-Stack Engineer specializing in scalable web, cloud, and engagement systems

San Francisco Bay Area11y exp
NewsBreakNYU
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DY

Intern Software Engineer specializing in full-stack web and mobile development

Culver City, CA0y exp
AmazonPrinceton University
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RY

Mid-level Full-Stack Python Developer specializing in cloud-native platforms and payments

California, USA6y exp
AmazonConcordia University Wisconsin
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AS

Mid-level Software Engineer specializing in real-time backend systems and FinTech payments

San Francisco, CA6y exp
StripeWebster University
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AB

Mid-level Backend/Distributed Systems Engineer specializing in AWS serverless architectures

Bellevue, WA2y exp
AmazonCarnegie Mellon University
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RC

Senior AI/ML Engineer specializing in computer vision, NLP, and real-time forecasting

Newark, CA10y exp
OutlierUC Berkeley
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TM

Senior Software Engineer specializing in cloud platforms for healthcare and e-commerce

San Jose, CA11y exp
AmazonGeorgia Tech
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FZ

Junior Software Engineer specializing in observability and cloud infrastructure

2y exp
FastlyUC Berkeley
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SY

Mid-level AI/ML Engineer specializing in LLMs, multimodal systems, and MLOps

5y exp
MetaEast Texas A&M University
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NC

Mid-level Machine Learning Engineer specializing in real-time recommender systems and MLOps

Bellevue, WA6y exp
NetflixUniversity of Dayton
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MT

Senior Software Engineer specializing in cloud platforms, data pipelines, and ML

Seattle, WA6y exp
MicrosoftMcMaster University
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SS

Mid-level AI/ML Engineer specializing in LLMs, RAG, and multi-agent systems

California, USA5y exp
Google DeepMindUniversity of North Texas
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CC

Senior Backend Engineer specializing in distributed systems and cloud microservices

Beaverton, Oregon11y exp
NikeUC San Diego

Backend/data engineer with experience at Nike building high-volume order orchestration and validation APIs using FastAPI microservices on AWS EKS with Kafka, Redis, and Postgres. Strong in production reliability (timeouts/retries/idempotency), GitOps (Argo CD) + Terraform deployments, and data pipelines (AWS Glue/S3), with hands-on incident ownership and legacy modernization into API-driven services.

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AM

Akhil Maram

Screened

Senior Data Engineer specializing in real-time data platforms and lakehouse architectures

Parker, CO8y exp
AirbnbLindsey Wilson College

Senior, product-focused engineer who has built real-time customer-facing web applications and a microservices backend (TypeScript/React/Node) using RabbitMQ, MongoDB, and Redis. Demonstrates strong operational maturity (idempotency, tracing/observability, backpressure) and built an internal console that became the primary tool for debugging, replaying jobs, and managing system behavior.

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JF

Executive Engineering Leader specializing in AI-driven SaaS and IoT platforms

Los Angeles, CA22y exp
VantivaBabson College

Engineering leader who built and delivered an IoT smart-spaces platform for the self-storage and smart-living domains, translating customer requirements into architecture, capability maps, and a multi-milestone roadmap. Personally stood up missing AI/ML capabilities (including churn prediction) using Databricks (Delta Lake/MLflow), enabling follow-on features like energy optimization and security/anomaly detection. Scaled an org from 20 to 80+ with disciplined Agile planning (Jira Advanced Roadmaps/Confluence) and strong executive/customer-facing leadership during high-stakes customer commitments.

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DN

Dennis Noto

Screened

Executive Technology & Security Leader specializing in FinTech, AI platforms, and enterprise modernization

Denver Metro Area36y exp
Etana CustodyUniversity of Oklahoma

Technology transformation leader who builds board-approved roadmaps and scales engineering orgs with strong Agile execution. Led large modernization efforts (e.g., Scottrade: 3,000 programs/4M LOC in 18 months) and scaled POCs into enterprise SaaS platforms using Docker, Kubernetes, Helm, and Terraform for high-concurrency workloads.

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