Vetted AWS CodePipeline Professionals

Pre-screened and vetted.

SK

Mid-level Full-Stack Developer specializing in Java/Spring Boot, React, and cloud microservices

New York, NY5y exp
AmazonAuburn University at Montgomery
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VR

Mid-level AI/ML Engineer specializing in GenAI, RAG, and cloud-native ML platforms

Charlotte, North Carolina4y exp
CitibankIndiana Wesleyan University
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SC

Mid-level Full-Stack Developer specializing in .NET, Python/Django, and cloud-native web apps

TX5y exp
UberUniversity of Alabama at Birmingham
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AK

Mid-Level Software Engineer specializing in cloud backend and GenAI assistants

Seattle, WA5y exp
AT&TCampbellsville University
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FP

Senior Software & Data Engineer specializing in cloud platforms and streaming data

Hawthorne, CA14y exp
AmazonGrand Valley State University
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YV

Mid-level AI/ML Engineer specializing in NLP, RAG, and agentic AI

Sunnyvale, CA5y exp
Cerebras SystemsUniversity of Cincinnati
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YG

Mid-Level Software Engineer specializing in cloud-native distributed systems

Harrison, NJ5y exp
AmazonSouthern Illinois University
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MN

Senior DevOps Engineer / AWS Solutions Architect specializing in Kubernetes and DevSecOps

New York, NY7y exp
UberKabul University
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DK

David Kidwell

Screened

Senior AI/ML Data Scientist specializing in NLP, computer vision, and MLOps

New York, NY10y exp
Canoe IntelligenceBinghamton University

Applied LLMs and a graph-RAG architecture in Neo4j to automate an accounting firm's cross-checking of transactional books against tax regulations, indexing 1,000+ pages into a knowledge graph with vector search. Combines agentic LLM workflows with classical NER (Hugging Face/NLTK) and validates using expert-labeled held-out data plus precision/recall and measured accountant time savings after deployment.

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HS

Senior Data Engineer specializing in multi-cloud data platforms and streaming pipelines

4y exp
Northern TrustUniversity of Texas at Arlington

Data platform engineer with hands-on ownership of high-volume financial data pipelines (millions of transactions/day) on Azure (ADF, Databricks, Delta Lake, Synapse), emphasizing schema-drift protection and automated data-quality gates. Also built resilient web scraping pipelines with anti-bot and backfill strategies, and shipped a versioned FastAPI + Redis data API with autoscaling, testing, and CI/CD via GitHub Actions.

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AM

Senior Full-Stack Engineer specializing in Python, cloud-native systems, and LLM applications

Remote14y exp
IntelUniversity of Miami
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HR

Mid-level DevOps & MLOps Engineer specializing in cloud-native CI/CD and Kubernetes

Dallas, Texas6y exp
American AirlinesIllinois Institute of Technology
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SM

Mid-level SDET specializing in test automation, API/microservices QA, and cloud-native CI/CD

Jersey City, NJ6y exp
AmazonLeeds Beckett University
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NK

Mid-level DevOps Engineer specializing in multi-cloud Kubernetes and CI/CD automation

Remote, USA5y exp
IntuitSouthern Arkansas University
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SN

Senior DevOps Engineer specializing in cloud-native CI/CD and Kubernetes

SanJose, CA9y exp
AcerJawaharlal Nehru Technological University
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KS

Mid-level Frontend Software Engineer specializing in React and cloud-integrated web apps

Los Angeles, CA5y exp
WalmartUSC
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MN

Mid-level Full-Stack Java Developer specializing in microservices and cloud platforms

New York, US5y exp
JPMorgan ChaseUniversity of Cincinnati
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JL

Senior .NET Full-Stack Engineer specializing in healthcare cloud platforms

Wesley Chapel, FL9y exp
Mayo ClinicUniversity of South Florida
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MP

Mid-level Software Engineer specializing in cloud-native microservices and ML-driven automation

California, USA5y exp
ServiceNowCalifornia State University, Long Beach
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RS

Mid-level Data Engineer specializing in AWS lakehouse and Spark pipelines

Minneapolis, MN4y exp
OptumConcordia University
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Sunil Chinthaparthi - Mid-level Python Developer specializing in AWS microservices and cloud automation in Jersey City, NJ

Mid-level Python Developer specializing in AWS microservices and cloud automation

Jersey City, NJ4y exp
Best BuyPace University

Backend engineer focused on Python/FastAPI microservices running on Kubernetes (AWS EKS) with strong GitOps/CI/CD ownership (GitHub Actions + ArgoCD). Demonstrated measurable performance wins (p95 latency cut from >1s to <200ms) and production reliability work across Kafka/Redis streaming and cloud-to-on-prem migrations (RDS/S3 to Postgres/MinIO) using parallel validation and checksum-based consistency checks.

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