Vetted Kibana Professionals

Pre-screened and vetted.

Salman Hussain - Mid-level Software Engineer specializing in FinTech and compliance systems in California, USA

Mid-level Software Engineer specializing in FinTech and compliance systems

California, USA5y exp
StripeCampbellsville University
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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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EKEJI BRIGHT - Mid-level DevOps Engineer specializing in AWS cloud infrastructure and CI/CD in Denver, CO

Mid-level DevOps Engineer specializing in AWS cloud infrastructure and CI/CD

Denver, CO6y exp
Insight EnterprisesCaltech
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AI

Senior Software Engineer specializing in cloud-native microservices and FinTech platforms

Irving, TX7y exp
CoupaUniversity of the Cumberlands
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AP

Mid-level Software Engineer specializing in FinTech payments and compliance systems

San Francisco, CA6y exp
StripeUniversity of Memphis
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CR

Senior growth marketing leader specializing in performance marketing and user acquisition

San Francisco, CA10y exp
TubiUC Davis
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HK

Mid-level Java Backend Engineer specializing in Financial Services

San Francisco, CA5y exp
BlackRockUniversity of Memphis
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AA

Staff/Lead Cloud & DevOps Engineer specializing in SRE and multi-cloud infrastructure automation

Miami, FL14y exp
IBMUniversity of Texas at Austin
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TL

Senior Full-Stack Software Engineer specializing in Healthcare IT and cloud-native systems

Boston, MA11y exp
BCGUniversity of Texas at Austin
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US

Mid-level Software Engineer specializing in AI/ML and AWS cloud platforms

Bellevue, WA3y exp
AmazonNortheastern University
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ST

Senior Site Reliability Engineer specializing in multi-cloud, Kubernetes, and observability

Stamford, CT9y exp
Vanguard
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TM

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

Austin, TX11y exp
Accenture
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VC

Vyas Cholayil

Screened

Mid-Level Software Engineer specializing in Python automation, DevOps, and microservices

Raleigh, NC5y exp
AnsysNorth Carolina State University

Backend-focused engineer who built an internal wiki LLM chatbot end-to-end using FastAPI, Kubernetes, and ChromaDB vector search, including frontend integration. Also has strong DevOps/migration experience—automating large work-item and repo migrations (Jira/FogBugz/ADO on-prem to cloud) via Python scripts, JSON mappings, REST APIs, and validation test suites.

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CR

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

Austin, TX5y exp
AMDNortheastern University

Backend/AI engineer who built and scaled an internal AMD semiconductor manufacturing microservice platform (SMR), reworking a synchronous lot-request workflow into an event-driven RabbitMQ/Celery/FastAPI pipeline. Diagnosed and fixed peak-load reliability issues using deep observability and Kubernetes autoscaling, cutting notification latency back to sub-second and reducing duplicates via idempotency/DLQs. Also shipped an LLM-powered natural-language search with schema-constrained JSON outputs and guardrails, plus a plan-execute-verify Jira bug-resolution agent that can propose fixes and raise PRs under restricted permissions.

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Sunil Chinthaparthi - Senior Software Engineer specializing in cloud-native backend and distributed systems in New York, NY

Senior Software Engineer specializing in cloud-native backend and distributed systems

New York, NY4y 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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JL

Justin Leung

Screened

Mid-Level Software Development Engineer specializing in interactive ad formats

New York, NY4y exp
AmazonSan José State University

Has experience improving an ad server workflow by standardizing genre selection with templates, enabling reuse across multiple accounts and measuring success via hours of manual labor saved. Also delivered an internal technical demo on a device-metrics-to-AWS-CloudWatch logging workflow using whiteboarding and PowerPoint to onboard a new team.

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BD

Mid-level Java Full-Stack Developer specializing in scalable microservices

Missouri, USA5y exp
PalantirUniversity of Central Missouri

Full-stack engineer with hands-on experience shipping operational products in inventory and production management, spanning React/TypeScript frontends and Python, Node.js, and Java/Spring Boot backends. Particularly strong in making complex systems usable and reliable in production, including AI-powered anomaly detection with fallback logic, observability, and user-friendly alerting for non-technical operations teams.

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