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Vetted Amazon SQS Professionals

Pre-screened and vetted.

Amazon SQSDockerPythonAmazon S3CI/CDAWS Lambda
EW

Erica Wu

Entry-Level Software Development Engineer specializing in AWS serverless and distributed systems

Sunnyvale, CA1y exp
AmazonUSC
AWSAWS LambdaAudit LoggingBERTCC#+50
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JD

Jiaxin Deng

Mid-Level Software Engineer specializing in distributed systems and AI agent platforms

Redmond, WA3y exp
MicrosoftSan Jose State University
JavaPythonC#C++TypeScriptGo+54
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GD

George Dowling

Senior Full-Stack Engineer specializing in Healthcare and FinTech platforms

Minnetonka, MN9y exp
UnitedHealth GroupPrinceton University
PythonJavaScriptTypeScriptFastAPIDjangoFlask+92
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DZ

David Zimmerman

Senior Backend Engineer specializing in Healthcare & Cloud Platforms

New York, NY11y exp
DeloitteColumbia University
PythonSQLTypeScriptJavaScriptGoFastAPI+97
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VG

Vipul Goyal

Mid-Level Full-Stack Software Developer specializing in AWS cloud and automation

USA5y exp
AmazonNYU
PythonJavaC++CPHPHTML+83
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VN

Venkatesh Nagendla

Mid-level Software Engineer specializing in backend systems, billing, and real-time data pipelines

CA, USA6y exp
StripeSoutheast Missouri State University
AgileAmazon CloudWatchAmazon EC2Amazon EKSAmazon RDSAmazon S3+148
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SS

Shuqi Shen

Intern Full-Stack Software Engineer specializing in distributed systems and cloud services

1y exp
AmazonDuke University
A/B TestingAgileAmazon API GatewayAmazon BedrockAmazon DynamoDBAmazon S3+66
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YP

Yang Pulse

Senior Full-Stack & AI/ML Engineer specializing in FinTech and Healthcare IT

Remote12y exp
SnykUC Berkeley
Amazon CloudFrontAmazon DynamoDBAmazon EC2Amazon RDSAmazon S3Amazon SageMaker+96
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RT

Rhutwij Tulankar

Screened ReferencesStrong rec.

Engineering Manager and ML/Data Architect specializing in scalable data platforms and personalization

San Francisco, CA11y exp
RecruiticsRochester Institute of Technology

“Hands-on engineering manager at a marketing company leading a highly senior, distributed team (10 direct reports) while personally coding ~60–70% and owning end-to-end architecture across three interconnected products. Built agentic CRM automation and a reinforcement-learning-driven distribution layer for channel spend/bidding, with a strong focus on scalable design and observability (Prometheus/APM/logging) enabling frequent releases and few production incidents.”

Amazon DynamoDBAmazon ECSAmazon KinesisAmazon RedshiftAmazon S3Amazon SQS+263
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VB

Vigynesh Bhatt

Screened ReferencesStrong rec.

Mid-level Software Engineer specializing in backend, cloud, and ML systems

Salt Lake City, UT4y exp
Goldman SachsBrigham Young University

“Software engineer with experience across Goldman Sachs, BYU Broadcasting, Juniper Networks, and an edtech startup (Doubtnut), spanning data migrations, AWS-based media backends, and microservices observability. Built a Redis/ElastiCache caching layer in front of DynamoDB/S3 to improve media delivery latency and cost, and created an SEO indexing automation tool using the Google Search Console API that saved ~15–30 person-hours per day.”

A/B TestingAmazon CloudWatchAmazon DynamoDBAmazon EC2AWSAWS Lambda+165
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AC

Alexander Choy

Screened

Director of AI/ML Engineering specializing in MLOps, data platforms, and 3D computer vision

Teaneck, NJ10y exp
AetrexColumbia University

“Backend/data engineer focused on production ML/LLM systems: built a real-time FastAPI inference API on Kubernetes with strong reliability patterns (timeouts, idempotent retries, centralized error handling). Delivered AWS platforms using EKS + Lambda with GitHub Actions/Helm CI/CD and built Glue-based ETL from S3/Kafka into Snowflake with schema evolution and data-quality controls; also modernized legacy analytics/recommendation workflows into Python services with safe, feature-flagged cutovers.”

Amazon BedrockAmazon CloudWatchAmazon DynamoDBAmazon EC2Amazon ECSAmazon Redshift+220
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AR

Ali Rezafard

Screened

Director of Engineering specializing in cybersecurity SaaS platforms and cloud-scale backend systems

San Francisco, CA14y exp
ProofpointUniversity of Waterloo

“Director of Engineering at Proofpoint for 8 years, leading architecture and integration of Java microservices within a detection platform. Demonstrates pragmatic delivery leadership—incurring short-term cost to meet launch deadlines, then systematically paying down technical debt and optimizing AWS spend—plus a disciplined, long-horizon approach to backward-compatible API/schema evolution across many dependent services.”

SaaSMentoringStakeholder ManagementCross-functional CollaborationTestingMonitoring+77
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DJ

Dimple Joseph

Screened

Director of Engineering specializing in cloud-native SaaS, e-commerce search, and AI personalization

Redwood Shores, CA25y exp
OracleThe University of Texas at Arlington

“Engineering leader (12+ years Director, 17 years lead) focused on developer productivity and platform/framework work across Oracle, PlayStation, Workday, and CafePress. Notable for building distributed teams from scratch and delivering high-impact platform architecture—e.g., re-architected PlayStation’s upload pipeline to support 500GB–5TB submissions using browser-to-AWS chunked uploads with SNS/SQS and deduplication/resume support.”

AngularAnomaly DetectionAPI GatewayAWSAWS LambdaBash+232
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AA

Ajeeta Asthana

Screened

Mid-level Software Engineer specializing in distributed systems and FinTech infrastructure

New York, NY
BloombergNYU

“Early-career software engineer who owns revenue-critical invoice processing and internal ops tooling end-to-end. Has built TypeScript/React systems backed by MongoDB and Temporal, and designed scalable SQS-based onboarding workflows with FIFO/DLQ monitoring. Notably redesigned an Authzed SpiceDB authorization model, shrinking a 500+ line schema to ~20 lines while meeting sub-100ms p95 latency.”

AnsibleAWSC++Data ModelingDatabase IndexingDistributed Systems+72
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JW

Jared Wiener

Screened

Senior Solutions Architect & Full-Stack Developer specializing in Media & Entertainment on AWS

Santa Monica, CA20y exp
Amazon Web ServicesIthaca College

“Engineering/product leader with experience at ABC News and AWS who built newsroom collaboration and internal tooling initiatives into a full department, aligning roadmaps to business outcomes and navigating Disney-scale bureaucracy. Demonstrates hands-on architectural depth in serverless systems (Lambda/SQS/Parquet) and strong distributed-team operating cadence (Kanban/Asana, Jira/GitHub, Zoom/Slack), including leading while frequently traveling to evangelize and test products across bureaus.”

AWSJavaScriptNode.jsReactReact NativeCSS+53
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KS

Kaushik Sriram

Screened

Mid-Level Software Engineer specializing in event-driven FinTech backend systems

San Francisco, CA5y exp
StripeUniversity of Central Missouri

“Backend/data-platform engineer with Stripe and Salesforce experience focused on global payouts/treasury systems. Built an end-to-end payout settlement monitoring platform (FastAPI microservices, Kafka/Spark streaming, React dashboard, CloudWatch alerting) that cut settlement delays 25% and reconciliation time 30%, and productionized an ML anomaly detection service that reduced missed issues by 30%. Experienced modernizing monoliths into microservices with feature flags/canaries and close partnership with treasury/risk/CTO stakeholders.”

PythonNode.jsFastAPIFlaskCeleryEvent-Driven Architecture+83
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VR

Varun Raghavendra

Screened

Mid-level Software Engineer specializing in cloud, distributed systems, and frontend platforms

Boulder, CO2y exp
LenovoUniversity of Colorado Boulder

“Robotics software engineer with hands-on ROS2 experience building an audio conversion node and integrating Whisper LiveKit for streaming speech-to-text in a simulated hostile (outer space) robot environment. Also worked on a 2023 LiDAR + ML vision obstacle-detection project for a hospital-nurse-assistant robot, and has strong large-scale CI/CD deployment experience from AWS (2022–2024) across alpha/pre-prod/prod stages.”

AgileAmazon ECSAWS CloudFormationAWS CodePipelineAWS LambdaCI/CD+90
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DA

Dhruv Arora

Screened

Senior Generative AI Implementation Consultant specializing in RAG and agentic AI on cloud

Bay Area, CA3y exp
CapgeminiDuke University

“LLM/RAG practitioner who built an AWS-based enterprise document search and summarization platform with RBAC and scaled it to 10K+ users, solving relevance issues via contextual chunking and hybrid retrieval. Also designed agentic workflows for a telecom forecast-validation use case using sub-agents, tool APIs, and strict context management, and has proven pre-sales influence (supported a $300K manufacturing deal with a roadmap-driven pitch).”

A/B TestingAPI GatewayAWSAWS GlueAWS LambdaAWS Step Functions+81
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SR

Swayambhu Raparti

Screened

Executive Technology Leader in AI/ML, cloud platforms, and biotech/healthcare data systems

29y exp
Santa Ana BioCarnegie Mellon University

“Engineering leader with experience building point-of-care diagnostics platforms (IoT-connected PCR device delivering results in <15 minutes) and scaling multidisciplinary teams (55+). Has led major data/IoT architecture decisions (multi-cluster Kubernetes with secure routing; Kafka + Gobblin over MQTT) and runs execution with Agile roadmaps tightly aligned to GTM and senior leadership.”

AWSAWS GlueAWS IAMAWS LambdaAgileApache Airflow+284
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CS

Chandra sai kiran Kammari

Screened

Mid-level Machine Learning Engineer specializing in fraud detection and real-time personalization

San Francisco, CA6y exp
StripeUniversity of Tampa

“ML/LLM engineer with Stripe and Adobe experience who productionized a transformer-based Payments Foundation Model for real-time fraud detection at global scale (billions of transactions). Built petabyte-scale ETL/feature pipelines (Spark/EMR, Airflow, dbt, Kafka/Flink) and achieved <100ms multi-region inference (EKS, TorchServe, edge/Lambda, GPU/CPU routing) with strong PCI-DSS/GDPR compliance and explainability (SHAP/LIME), reporting a 64% fraud accuracy improvement.”

PythonPyTorchTensorFlowScikit-learnPandasNumPy+164
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SW

Shawn Williams

Screened

Mid-Level Backend Engineer specializing in AWS serverless and data processing

7y exp
AmazonUC Irvine

“Amazon Prime Video backend engineer who built and operated high-traffic Python/FastAPI services and AWS-native data/batch systems. Demonstrates strong production reliability and incident ownership (CloudWatch/X-Ray), plus measurable performance wins (8s to <200ms query latency, ~40% CPU reduction) and cost-focused architectures (Lambda + ECS/Fargate with Fargate Spot).”

PythonSQLBashPowerShellJavaScriptTypeScript+99
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PH

Peifeng Hu

Screened

Junior Software Development Engineer specializing in AWS distributed systems and data orchestration

Seattle, WA3y exp
AmazonUSC

“Backend/platform engineer with deep AWS experience who built a high-reliability ingestion platform (Lambda + Step Functions + DynamoDB) that became the single source of truth for training/qualification certification data across an AU region, handling high-volume async updates with strong consistency controls. Also led a major API migration from Lambda to ECS/Fargate to eliminate cold starts and increase throughput, and has hands-on EKS/Kubernetes operations plus Kafka partitioning/ordering expertise.”

KotlinJavaPythonTypeScriptReactAWS+60
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AR

Arjun Rahar

Mid-level Software Engineer specializing in robotics, AI, and full-stack systems

Remote, USA5y exp
Mira MaceGeorgia Tech
PythonC++TypeScriptJavaScriptGoSQL+207
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