Vetted Amazon EKS Professionals

“Cloud consulting veteran building DragnCloud, an agentic cloud infrastructure builder aimed at teams outgrowing Heroku/Supabase who need complex setups (data pipelines, custom LLM hosting, multi-tier apps) without hiring consultants. Has SaaS background and has served as a Fractional CTO for funded companies; currently focused on landing the first 20 customers and expanding automation into higher-value workflows.”

“Backend/data engineer with hands-on production experience building Python (FastAPI/Flask) data enrichment services secured with Okta OAuth2 and monitored via Splunk/Dynatrace. Has delivered AWS event-driven and data-migration solutions (Lambda + Kafka to EKS; Glue from on-prem Oracle to S3/data lake) and modernized Informatica match/merge logic to cloud services using parallel-run parity validation and stakeholder sign-off.”

“Cloud/SRE-style engineer at TDS supporting revenue-critical transportation SaaS platforms on AWS/GCP with Kubernetes. Has hands-on experience leading high-impact production work including DDoS mitigation, zero-downtime MSSQL→PostgreSQL migration using CDC, and building secure GitHub Actions + ArgoCD delivery pipelines and Terraform-based GKE infrastructure.”

Danny Beck

Screened ReferencesStrong rec.

Executive Technology Leader (CTO/Head of Engineering) specializing in platform rebuilds, AI, and Web3

California, USA11y exp

“Startup leader with 15+ years of experience, including lead engineer and founding CTO roles across 5 companies from pre-seed to Series A. Actively develops personal venture ideas by creating product specs/SLAs/business plans and engaging in investor pitch sessions and incubators, with a strong focus on early product-market fit via validated learning and data-driven pivots.”

Naveen Chokkakula

Screened References

Senior Golang Engineer specializing in distributed systems and cloud-native microservices

Texas, USA5y exp

“Software engineer with experience at UWorld and Infosys, focused on full-stack product delivery and backend reliability. Stands out for owning analytics/onboarding experiences end-to-end while also building resilient distributed systems, reusable service primitives, and safe multi-tenant configuration guardrails.”

“Cloud/Linux infrastructure engineer focused on high-availability AWS platforms (EKS/EC2) with strong observability and incident response ownership. Has hands-on experience building secure CI/CD (GitHub Actions/Jenkins) and Terraform-based IaC at scale, including resolving real production issues like peak-traffic latency and Terraform remote state locking; transparent about not having direct IBM Power/AIX/PowerHA production ownership.”

“DevSecOps/AWS infrastructure engineer at Madison Logic who owns a 15-account AWS footprint and treats nearly all AWS resources as code (Terraform/CloudFormation). Led a CI/CD platform migration (Bitbucket → GitLab + GitHub Actions) supporting WordPress and containerized microservices, improving release frequency to weekly/daily, and has hands-on production incident response experience on ECS Fargate using Datadog with fast rollback via immutable ECR tags and task definition revisions.”

“Built and shipped a production LLM-powered decision system that replaced a slow, inconsistent manual review process by turning messy text into structured, auditable outputs behind an API. Demonstrates strong end-to-end ownership of reliability and operations (schema validation, retries/fallbacks, latency/cost controls, monitoring for drift) and a disciplined approach to evaluation and regression testing. Experienced collaborating with non-technical reviewers to define success criteria and deliver interpretable outputs that get adopted.”

“Built and deployed a production AI document Q&A (RAG) platform that lets non-technical users query hundreds of PDFs/Word files, cutting search time from hours to seconds. Experienced with scaling retrieval pipelines (chunking, embeddings, vector search, batching/caching) and orchestrating reliable workflows using AWS Step Functions/Airflow with robust retries, monitoring, and fallbacks.”

“Backend-focused Python engineer who owned high-traffic internal services end-to-end (FastAPI/Django) including REST/GraphQL APIs, PostgreSQL optimization, async task processing via SQS, and full CI/CD. Strong Kubernetes-on-EKS and GitOps (ArgoCD + Helm) experience, plus Kafka real-time streaming work and phased cloud-to-on-prem migration support.”