Vetted Azure Functions Professionals

Pre-screened and vetted.

MR

Mid-Level Software Engineer specializing in Java/Spring microservices for FinTech

San Francisco, CA4y exp
IntuitOklahoma Christian University
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DS

Mid-level Full-Stack Engineer specializing in AI-native cloud systems

4y exp
Johnson & JohnsonUniversity at Buffalo
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SE

Mid-level .NET Developer specializing in cloud-native microservices and enterprise APIs

5y exp
UnitedHealth GroupKent State University
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NM

Senior Data Engineer specializing in cloud data pipelines and big data platforms

Dublin, OH6y exp
Cardinal HealthLindsey Wilson College
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AC

Mid-level Software Engineer specializing in backend services and data engineering

5y exp
Bank of AmericaUniversity at Buffalo
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MS

Senior Full-Stack Java Developer specializing in FinTech and Healthcare IT

5y exp
WalmartTexas A&M University-Commerce
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AP

Senior AI/ML Engineer specializing in computer vision, GenAI, and 3D spatial analytics

Baltimore, MD12y exp
Under ArmourNorth Carolina State University
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IK

Senior Data Engineer specializing in Azure, Databricks, and BI/ETL platforms

Orlando, FL9y exp
EY
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PP

Senior Full-Stack Developer specializing in Java microservices and cloud platforms

Durant, OK8y exp
First United Bank
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FK

Senior Java Full-Stack Developer specializing in cloud-native microservices and FinTech

Bristow, VA9y exp
Bank of America
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PA

Mid-level Full-Stack Developer specializing in React and Python (Django/FastAPI)

Toronto, Canada6y exp
The Home Depot
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KK

Senior Full-Stack Engineer specializing in cloud-native Java microservices and GenAI

New York, NY7y exp
JPMorgan Chase
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TS

Senior Data Engineer specializing in multi-cloud data platforms and real-time analytics

Sunny Isles Beach, FL10y exp
Capgemini
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RO

Rafael Ortega

Screened ReferencesStrong rec.

Senior Full-Stack & AI Engineer specializing in LLM integrations and cloud-native systems

Remote (Texas)8y exp
BlocUnitedNew Mexico Tech

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.

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Vigneshwari Shankiri - Senior Java Full-Stack Developer specializing in microservices and cloud platforms

Vigneshwari Shankiri

Screened ReferencesStrong rec.

Senior Java Full-Stack Developer specializing in microservices and cloud platforms

5y exp
TD BankSt. Peter's Engineering College

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.

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SG

Senior Full-Stack Software Engineer specializing in cloud microservices and data platforms

New York, NY9y exp
S&P GlobalUniversity of Texas at Dallas
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SS

Senior DevOps Engineer specializing in multi-cloud infrastructure and Kubernetes

7y exp
KrogerUniversity of Dayton
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Miguel Ángel Hoyos Ramírez

Screened ReferencesStrong rec.

Mid-level Unity/XR Developer specializing in AR/VR training and WebAR experiences

Medellín, Colombia5y exp
PublicisCESDE

Unity/OpenXR VR developer who largely solo-built a Cabin Crew Member VR training simulator at Nediar, including custom two-hand interactions and complex UI on grabbable/moving objects. Demonstrates strong Quest performance optimization (Quest 1-focused culling/LOD/texture scaling) and clear knowledge of Meta Quest release requirements (AAB/ARM64, VRC/content compliance, alpha/beta channels and continuous deployment).

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