Vetted Amazon EMR Professionals

Pre-screened and vetted.

PK

Mid-level AI/ML Data Engineer specializing in data pipelines, MLOps, and LLM/RAG systems

6y exp
MetaPace University
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BG

Mid-level Machine Learning Engineer specializing in MLOps and scalable ML pipelines

Charlotte, NC5y exp
AppleMarist College
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RC

Senior Data/GenAI Engineer specializing in cloud-native ML, RAG, and real-time data platforms

Richardson, TX8y exp
ToyotaTexas A&M University
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PF

Senior Data Engineer specializing in BI Analytics and AI/ML

Lighthouse Point, FL11y exp
DropboxJacksonville University
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ST

Senior Software Engineer specializing in data engineering, BI analytics, and AI/ML

Moulton, AL11y exp
DropboxFlorida State University
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MM

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

Ohio, USA10y exp
Pixolat LLC
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SN

Mid-level AI/ML Engineer specializing in NLP, graph models, and MLOps for FinTech and Healthcare

Remote, USA5y exp
StripeKent State University

AI/ML engineer who has deployed production LLM/transformer-based systems for merchant intelligence and fraud/support optimization, delivering +27% merchant engagement and +18% payment success. Deep experience in privacy-preserving, PCI DSS-compliant data/ML pipelines (Airflow, AWS Glue, Spark, Delta Lake) and scalable microservices on Kubernetes, plus proven cross-functional delivery in healthcare claims analytics at UnitedHealth Group (12% HEDIS claim reduction).

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VR

Vikas Ravula

Screened

Senior Data Engineer specializing in cloud data platforms and real-time streaming for financial services

Chicago, IL6y exp
BloombergUniversity of Illinois Urbana-Champaign

Data engineer with experience at Bloomberg, UBS, and Bank of America building high-volume financial data platforms and services. Owned an end-to-end pipeline processing ~150–200M records/day (Kafka/Cassandra/S3 → Spark/PySpark → Snowflake) with strong data quality controls and Airflow reliability practices, reporting ~99% reliability and major performance gains. Also built large-scale external API ingestion with compliance-minded rate limiting, schema versioning, and quarantine/validation layers.

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Abhay Murjani - Director-level Data Science Manager specializing in ML forecasting, experimentation, and MLOps in New York, NY

Abhay Murjani

Screened

Director-level Data Science Manager specializing in ML forecasting, experimentation, and MLOps

New York, NY6y exp
American ExpressUniversity at Buffalo

Data/ML engineer with experience at American Express and Amazon, owning an end-to-end rewards redemption/liability ML pipeline (~200GB) with rigorous regulatory/audit validation and quarterly executive reporting. Also built web-scraped product datasets with anti-bot protections at a startup and helped modernize an authn/authz service using AWS, plus led early-stage migration work from an internal warehouse to GCP with CI/CD and cloud observability.

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Kaustubh Rai - Junior Software Engineer specializing in scalable distributed systems and cloud platforms in Pittsburgh, PA

Kaustubh Rai

Screened

Junior Software Engineer specializing in scalable distributed systems and cloud platforms

Pittsburgh, PA2y exp
eParts Services LLCCarnegie Mellon University

Backend engineer with experience at UnitedHealth Group redesigning a high-traffic Spring Boot microservice from blocking to reactive architecture during peak season, cutting median latency by 47% for a service used by ~10M customers annually. Strong in Kubernetes-based deployment/scaling and pragmatic rollout strategies (blue-green/incremental traffic shifting) with performance and database troubleshooting.

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CA

Senior DevOps Engineer specializing in cloud infrastructure and CI/CD automation

Columbus, OH8y exp
Oracle CernerYoungstown State University

Infrastructure/operations engineer with hands-on IBM Power/AIX administration (LPAR/DLPAR, HMC, RMC) and PowerHA cluster failover experience, plus modern DevOps tooling across CI/CD, Kubernetes/Helm, and IaC (Terraform/CloudFormation/Ansible). Emphasizes controlled change management, drift prevention via Git-as-source-of-truth, and observability practices using Prometheus/Grafana.

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Sai Kiran - Mid-level Full-Stack Python Engineer specializing in cloud-native payments and data pipelines in New York, NY

Mid-level Full-Stack Python Engineer specializing in cloud-native payments and data pipelines

New York, NY6y exp
StripeUniversity of Central Missouri
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GS

Senior Python AI/ML Engineer specializing in MLOps, data engineering, and LLM applications

Austin, TX12y exp
Elevance HealthUniversity of Texas at Austin
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SB

Senior Backend Software Engineer specializing in cloud-native platforms (AWS/Kubernetes)

Austin, TX3y exp
Trend MicroUniversity of Texas at Austin
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AY

Mid-level AI & Machine Learning Engineer specializing in production ML and LLM applications

Chicago, IL5y exp
AmazonUniversity of Illinois Chicago
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SB

Mid-Level Full-Stack Software Engineer specializing in FinTech and data platforms

Jersey City, NJ4y exp
Capital OneUniversity of Cincinnati
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HO

Mid-level Machine Learning & Data Engineer specializing in MLOps and cloud data platforms

San Francisco, CA4y exp
Blue River TechnologyUC Berkeley
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SR

Mid-level Software Engineer specializing in Cloud DevOps and MLOps

New York City, NY5y exp
InterSystemsCarnegie Mellon University
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JT

Senior Software Engineer specializing in cloud-native distributed systems and AI/ML platforms

San Diego, CA14y exp
ServiceNowUC San Diego
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FL

Mid-level Software Engineer specializing in cloud infrastructure automation and ML systems

Spring, Texas3y exp
HPERice University
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