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Vetted AWS Lambda Professionals

Pre-screened and vetted.

AWS LambdaPythonDockerCI/CDAmazon S3AWS
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Majid Rostami

Senior Full-Stack Software Engineer specializing in cloud-native microservices and FinTech

Lake Elsinore, CA17y exp
Bright Associates LLCUC San Diego
C#JavaPythonJavaScriptTypeScriptGo+81
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OS

olaleye shokunbi

Senior DevOps / Cloud / Site Reliability Engineer specializing in AWS and Kubernetes

United States (Remote)10y exp
Bank of AmericaRutgers University
AWSKubernetesAmazon EKSDockerHelmTerraform+64
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JR

Jalilur Rahman

Mid-level Full-Stack Engineer specializing in React and Java microservices

New York, United States5y exp
UberFullstack Academy
JavaSQLJavaScriptTypeScriptPythonSpring Boot+86
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DP

Deep Patel

VP Data Engineer specializing in AI-driven analytics platforms for investment management

10y exp
Sona Asset ManagementNYU
PythonSQLRScalaJavaScriptC+++108
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VG

Vineeth G

Mid-level Full-Stack Engineer specializing in cloud-native microservices and data integrations

5y exp
Johnson & JohnsonPurdue University
ReactAngularJavaScriptTypeScriptSASSBootstrap+100
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HK

Harika Kadaveru

Mid-Level Backend Software Engineer specializing in Java/Spring Boot microservices on AWS

Frisco, TX4y exp
UberUniversity of Texas at Arlington
JavaSQLPythonSpring BootSpring MVCMicroservices Architecture+42
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BC

Bhanu Chander

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

New York, NY6y exp
DisneyIndiana Wesleyan University
PythonSQLScalaC#JavaScriptJava+134
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GC

Gopi CHINTHAGUMPULA

Mid-level Software Engineer specializing in backend microservices and cloud-native systems

USA, USA4y exp
UberTexas A&M University–Kingsville
JavaKotlinPythonTypeScriptSQLSwift+92
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JK

Jahnavi Koneni

Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines

San Antonio, TX4y exp
USAAClark University
PythonSQLScalaShell ScriptingJavaApache Spark+98
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SM

Sainath Myakala

Mid-level Data Engineer specializing in AI/ML data platforms and real-time streaming

Arkansas, USA6y exp
WalmartUniversity of Central Missouri
PythonJavaScalaShell ScriptingSQLApache Kafka+79
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SM

Sai Meka

Mid-level Data Engineer specializing in cloud lakehouse and streaming pipelines

California, USA5y exp
JPMorgan ChaseCalifornia State University, Fullerton
PythonJavaScalaRShell ScriptingSQL+97
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KG

Khaliun Gerel

Screened ReferencesStrong rec.

Senior Full-Stack Engineer specializing in cloud, web, and mobile platforms

New York, NY7y exp
GertechColumbia University

“Full-stack product engineer who has owned end-to-end delivery of multi-client platforms: Finy (agriculture platform with 3 role-based web dashboards plus 2 field mobile apps) and Ugoku (Japanese studio platform with React/TypeScript dashboards, Node/Mongo backend, and mobile AR video playback). Strong in scalable architecture and performance—offline-first mobile for low connectivity, and AWS-based asynchronous video/AR processing with S3/CloudFront—plus building internal ops tools adopted quickly due to measurable workflow improvements.”

JavaScriptTypeScriptPythonJavaReactNext.js+137
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AM

Abhishikth Meesala

Screened ReferencesStrong rec.

Mid-level AI/ML Engineer specializing in NLP, Generative AI, and fraud detection

Dallas, TX4y exp
PwCCampbellsville University

“At PwC, built and productionized an agentic RAG enterprise search assistant over 6M internal documents (8M embeddings), deployed across AWS and GCP. Drove major retrieval gains (72%→92% precision via BM25+dense hybrid with RRF and cross-encoder re-ranking), reduced hallucinations 30%, achieved <2s latency at 50–60K queries/month, and cut support tickets 30%—boosting adoption to 2,500 users by adding source-cited answers.”

A/B TestingAgileAnomaly DetectionApache AirflowApache SparkAuto-scaling+135
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JN

JYOTHI N

Screened ReferencesStrong rec.

Senior Data Scientist specializing in analytics, experimentation, and BI on AWS

Austin, TX7y exp
AmazonJawaharlal Nehru Technological University

“Data/ML practitioner focused on healthcare data quality and record linkage: analyzed 10M+ records, built anomaly detection and NLP-driven entity resolution, and automated AWS ETL/validation pipelines (Glue/Redshift/Lambda), cutting data errors by 40% and generating $500k in annual savings. Has hands-on experience with embeddings (Sentence Transformers/spaCy), FAISS vector search, and fine-tuning for domain-specific matching.”

A/B TestingAmazon CloudWatchAmazon KinesisAmazon RedshiftAmazon S3Anomaly Detection+137
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MM

Matthew Mullins

Screened

Senior Software Engineer specializing in AI/ML backend and cloud infrastructure

Bentonville, AR11y exp
WalmartUniversity of Houston

“Backend/data platform engineer with production experience at Walmart and Molina Healthcare, building Python microservices on AWS (EKS + Lambda) for real-time inventory and recommendation systems. Strong in reliability/observability and incident leadership, plus modernizing legacy healthcare workflows and building resilient AWS Glue/PySpark pipelines with schema evolution and data quality controls.”

PythonFastAPIDjangoSQLAlchemyPySparkSQL+132
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HM

Harinee Mohanakrishnan

Screened

Junior AI/ML & Cloud Software Engineer specializing in LLM applications

2y exp
Randomwalk.AIUniversity of Illinois Urbana-Champaign

“AI engineer (2+ years; pursuing an online MS at UIUC) who has shipped an AI-powered voice screening platform end-to-end on GCP with strong production monitoring and measurable hiring-process impact (80% reduction in unqualified pass-through; ~50+ hours saved per role). Also built and deployed an AWS-based context-aware hybrid search system using OpenSearch as a vector store, and has hands-on experience with multi-agent LLM orchestration (ReAct) and structured-output guardrails.”

Amazon S3API IntegrationAWSCI/CDCloud ComputingComputer Vision+95
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HK

Hari Kiran Reddy Rommala

Screened

Mid-Level Full-Stack Software Engineer specializing in cloud-native data platforms

Austin, TX5y exp
Northeastern UniversityPenn State University

“LLM/agentic systems practitioner who specializes in moving customer prototypes into production within microservices environments, emphasizing reliability, latency, security, and measurable success metrics. Experienced in real-time troubleshooting using logs/traces and in enabling adoption through hands-on developer workshops (including live coding in Java Spring Boot) and pre-sales POCs that address technical objections and integration risk.”

AlertingAmazon API GatewayAmazon CloudWatchAmazon DynamoDBAmazon EC2Amazon Kinesis+181
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SC

Swastik Chowdhury

Screened

Mid-level Data Engineer specializing in cloud data platforms and real-time streaming

5y exp
Vertisage TechnologiesCarnegie Mellon University

“Worked on onboarding a Middle East logistics client processing thousands of invoices/month, building a production-ready pipeline that routes known vendor PDFs to deterministic regex parsers via Tax ID matching and falls back to LlamaParse for unknown layouts. Added financial consistency validation plus human-in-the-loop review and logging/metrics to continuously reduce LLM usage and improve template coverage.”

PythonScalaJavaSQLReactMySQL+96
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OO

Omolara Okubanjo

Screened

Senior DevOps/DevSecOps Engineer specializing in AWS & Azure cloud infrastructure

Fairfax, VA10y exp
Technatomy Digital SolutionUniversity of Lagos

“Infrastructure/DevOps-focused engineer working across Linux-based enterprise platforms that include IBM Power/AIX in a broader OpenShift/Kubernetes and cloud ecosystem. Built Azure DevOps CI/CD for containerized deployments and resolved a production deployment failure by tracing ImagePullBackOff to outdated registry credentials in Kubernetes secrets. Uses Terraform (with modular structure) plus Ansible to provision and standardize production environments with pipeline-based validation.”

AgileAmazon CloudWatchAmazon DynamoDBAmazon EC2Amazon ECSAmazon EKS+148
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AF

Angie Fathalla

Screened

Mid-level Technical Consultant specializing in cloud automation and enterprise integration

Clinton, NJ7y exp
IBMNYU

“Insurance-domain engineer with hands-on mainframe (CICS) + modern cloud (AWS) experience who built a life-insurance quoting service end-to-end, including JSON-to-mainframe middleware and REST APIs with detailed business error handling. Led a tax-form legacy modernization by moving disorganized mainframe extracts into an event-driven S3/Lambda/Python cleanup pipeline to reduce mainframe load and isolate failures.”

AWSAmazon ECSAWS LambdaAmazon S3Microsoft AzureDocker+56
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