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Vetted Terraform Professionals

Pre-screened and vetted.

TerraformDockerPythonKubernetesCI/CDAWS
SL

Sai Lella

Senior Data Engineer specializing in cloud lakehouse platforms for banking and healthcare

Dallas, TX6y exp
U.S. BankIndiana Wesleyan University
Amazon EMRAmazon RedshiftAmazon S3Apache AirflowApache HiveApache Kafka+101
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PL

Prasanna Lakshmi Narisetty

Senior Java Full-Stack Developer specializing in cloud-native FinTech and payments

Easton, PA8y exp
Unity BankPondicherry University
JavaJava EESpring FrameworkSpring MVCSpring Data JPASpring Boot+159
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SP

Sai Pilla

Mid-level Python Backend Engineer specializing in cloud-native microservices and event-driven systems

Atlanta, GA5y exp
Juniper NetworksAuburn University at Montgomery
AgileAsynchronous ProcessingAuthenticationAWSAzure DevOpsAzure Functions+60
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SS

Soujanya Sankathala

Mid-level Data Engineer specializing in cloud data platforms and BI analytics

Remote, USA4y exp
U.S. BankSan José State University
A/B TestingAgileAnomaly DetectionApache AirflowApache HadoopApache Kafka+140
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SL

Sakina Lougue

Senior DevOps/Cloud Engineer specializing in AWS, Kubernetes (EKS), Terraform, and DevSecOps

Houston, TX8y exp
NextGen SolutionsUniversity of Maryland, College Park
AWSAmazon EKSAmazon EC2Amazon VPCAWS IAMAmazon RDS+73
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MR

Michelle Rojas

Senior DevSecOps Engineer specializing in secure CI/CD and cloud compliance

Boca Raton, FL11y exp
Total Wine & MoreFlorida State University
AWSCI/CDJenkinsGitHub ActionsAzure DevOpsInfrastructure as Code+52
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KE

Kanyshai Emilova

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

Remote4y exp
Aetna
Microsoft AzureTerraformAnsibleCI/CDJenkinsGitLab CI+47
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EN

Emillienne Ngantcha

Senior Cloud Security Architect specializing in multi-cloud security and DevSecOps

Frederick, MD11y exp
Infosys
AWSAmazon EC2Amazon S3AWS IAMAmazon VPCAWS Lambda+110
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MA

Mohammed Abdul

Senior DevOps/Site Reliability Engineer specializing in multi-cloud Kubernetes platforms

Austin, TX11y exp
KIBO
AWSAmazon EC2Amazon S3Amazon RDSAmazon EKSAWS Lambda+227
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JM

Josiah McCarthy

Mid-level Cloud Security & DevSecOps Engineer specializing in AWS/Azure security automation

Atlanta, Georgia7y exp
WEG Electric Corp.
AnsibleAWSAWS CloudFormationAWS IAMBashCI/CD+83
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KS

Kushwanth Sai Muthyala

Senior Full-Stack Java Engineer specializing in cloud microservices and FinTech/insurance platforms

Chicago, IL6y exp
State Farm
AgileAJAXAmazon CloudFrontAmazon DynamoDBAmazon EC2Amazon RDS+193
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AB

Anil Bayya

Mid-Level Full-Stack Java Developer specializing in Spring Boot microservices and Angular

Riverwoods, IL7y exp
Discover
JavaSQLPL/SQLCC++Multithreading+151
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AE

Atangang Edang

Senior DevOps/Cloud Engineer specializing in Azure, Kubernetes, and CI/CD

8y exp
Cape Fear Valley Health System
AWSAzure DevOpsGitHub ActionsJenkinsArgo CDGitOps+123
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SM

Sai Manikanta Kasireddy

Screened ReferencesStrong rec.

Mid-level Machine Learning Engineer specializing in cloud-native GenAI and RAG systems

5y exp
Revstar ConsultingUniversity of North Texas

“Built and productionized an internal GenAI chatbot that makes company policy/SOP knowledge instantly searchable, using a secure RAG architecture on AWS (Bedrock/Titan embeddings/OpenSearch Serverless, Textract/Lambda/S3 ingestion, Claude 3 Sonnet). Demonstrates strong MLOps/orchestration experience (Airflow, Step Functions with Lambda/Glue/SageMaker) and a rigorous reliability approach (RAGAS metrics, A/B testing, citation validation, monitoring), including collaboration with compliance stakeholders via review dashboards.”

A/B TestingAgileAmazon API GatewayAmazon BedrockAmazon DynamoDBAmazon EMR+214
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SP

Soumya Perala

Screened ReferencesStrong rec.

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

Sunnyvale, CA9y exp
Wide Open WestSan José State University

“Backend/platform engineer who has owned a real-time data ingestion/processing/reporting API built with FastAPI, Redis, and Celery, including performance tuning via query/index optimization, caching, and async workers. Strong Kubernetes + CI/CD + GitOps (ArgoCD) experience, plus hands-on monitoring/logging (Prometheus/Grafana/ELK) and a Kafka/Spark real-time streaming project from their master’s program.”

DevOpsSystem designAutomationCI/CDAWSTerraform+128
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GJ

Glen Jarvis

Screened ReferencesStrong rec.

Staff Site Reliability Engineer specializing in cloud infrastructure and automation

Remote, NY17y exp
OS LabsMissouri University of Science and Technology

“Infrastructure/automation engineer with experience bridging post-acquisition environments (Pandora + SiriusXM) by building an API-driven integration to provision Debian workloads on RHV while preserving iPXE-based imaging workflows. Strong in deep debugging across virtualization/network/OS layers (e.g., resolving virtio/vCPU contention causing network/NFS issues) and in extending automation tooling via custom Ansible/Python modules. Also has exposure to biomanufacturing on-prem devices (Hamiltons, shakers) alongside AWS microservices.”

PythonTypeScriptPostgreSQLMongoDBLinuxExpress+94
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TF

Timothy Flechtner

Screened ReferencesStrong rec.

Executive Technology & Product Leader specializing in games, platforms, and real-time systems

23y exp
Night Street GamesUniversity of Wisconsin–Madison

“Engineering leader with gaming and fintech/trading-firm experience who built a sponsor-funded gaming rewards platform (AmEx-style) requiring integrations across Steam/Epic/Xbox/PlayStation and Discord. Emphasizes production-grade, 12-factor delivery with Terraform/Docker/CI/CD and automated testing, plus pragmatic org scaling and remote-team culture built on aligned autonomy and trust.”

API designAuthenticationAuthorizationAWSBudgetingC+151
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PD

Preetham Dandu

Screened ReferencesModerate rec.

Junior Software Engineer specializing in backend, distributed systems, and cloud platforms

Stony Brook, NY1y exp
Stony Brook UniversityStony Brook University

“MS candidate with strong backend/data engineering focus who builds research and data systems with production-grade rigor (reproducibility, observability, restartability). Has hands-on experience securing and scaling FastAPI-based gateways in front of Java microservices, leading SQL Server→Snowflake migrations with dual-write/feature-flag rollouts, and hardening Kafka-based fleet-tracking systems against out-of-order and duplicate events.”

JavaPythonGoPostgreSQLMySQLFlask+129
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PS

Phanindra Satya Tharun Gunturi

Screened

Mid-level DevOps/SRE Engineer specializing in cloud CI/CD, IaC, and Kubernetes

Nashville, TN5y exp
Pinnacle Financial PartnersWebster University

“Infrastructure engineer with deep production IBM Power/AIX experience (AIX 7.2/7.3, HMC, dual VIOS, PowerHA) supporting ~25–30 LPARs and handling live DLPAR tuning, HA failovers, and Power7→Power9 migrations. Also builds modern cloud delivery platforms—Azure DevOps CI/CD deploying Dockerized microservices to Kubernetes with Terraform-managed AWS infrastructure, strong controls around secrets, drift, and safe rollouts.”

AgileAnsibleArgo CDAWSAWS CloudFormationAWS IAM+154
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SA

Sai Amartya Maruth Mandadi

Screened

Mid-Level Python Full-Stack Engineer specializing in Financial Services

SF Bay Area, CA4y exp
Northern TrustGeorge Mason University

“Backend/platform engineer who owned an end-to-end financial data ingestion and validation system (Python/Django/FastAPI, Postgres, AWS), including large-file performance tuning, auditability, and CI/CD. Strong Kubernetes/EKS + ArgoCD GitOps practitioner and has delivered both Kafka-based real-time transaction streaming and a legacy on-prem stack migration to AWS (ECS Fargate, RDS, S3, Secrets Manager) with controlled cutovers and data consistency validation.”

PythonPandasNumPySciPyScikit-learnJavaScript+131
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NJ

Nagasaikumar Jampani

Screened

Mid-level AI/ML Engineer specializing in Generative AI and RAG pipelines

NJ, USA6y exp
Molina HealthcarePace University

“AI/LLM engineer with healthcare domain experience who built a production clinical support “chart bot” for Molina, including PHI-safe ingestion of 200k+ PDF policies, vector retrieval, and a fine-tuned LLaMA served via vLLM on ECS Fargate. Demonstrated measurable performance wins (HNSW + namespace partitioning; 30% inference latency reduction) and a rigorous evaluation/monitoring approach, while partnering closely with nurses and operations teams to shape workflows and guardrails.”

A/B TestingAmazon BedrockAmazon CloudWatchAmazon EC2Amazon EKSAmazon S3+130
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