Benitha Gadupudi

About Benitha Gadupudi

I help engineering teams build reliable, secure, and automated cloud infrastructure on Azure and AWS, so they can ship faster without losing sleep over compliance or downtime.With 5+ years across the full cloud stack, I\'ve worked across infrastructure, security, and data engineering, delivering measurable outcomes for clients in financial services, retail, and consulting.* Cloud Infrastructure & Automation Provisioning Azure and AWS resources using Terraform, Bicep, ARM templates, Azure CLI, and PowerShell. Automated end-to-end CI/CD pipelines in Azure DevOps and GitHub Actions — cutting manual provisioning effort by 60% and eliminating configuration drift across environments.* Cloud Security & Compliance Strengthening security postures using Azure Defender, Defender for Cloud, and CIS compliance frameworks, improving security scores from 61% → 70%. Enforcing Zero Trust, RBAC hardening, and Azure Policies across production environments with zero post-production compliance defects.* Data Engineering & ETL Pipelines Designing and implementing ETL processes using Azure Data Factory for data ingestion, transformation, and orchestration, reducing reporting cycles from 5 days to 2 days. Integrating Azure Data Lake, Azure SQL, and Synapse Analytics to manage large-scale datasets.* Solution Design & Architecture Translating business requirements into High-Level Designs (HLDs) and Low-Level Designs (LLDs). Delivered tailored cloud architectures across 4+ global client engagements, provisioning and managing 50+ Azure resources with consistent sprint delivery.* Observability & Reliability Built real-time Grafana and CloudWatch dashboards that reduced MTTD by 40% and supported proactive capacity planning, maintaining 99.9%+ uptime across hybrid AWS/Azure environments.* Mentorship & Knowledge Sharing Supported 160+ graduate students as a Cloud TA at George Washington University, driving a 32% average improvement in performance outcomes. Mentored and onboarded 5 engineers, improving onboarding efficiency by 21% and boosting new hire productivity by 14% within the first 30 days.Certifications: AZ-203 Azure Developer Associate · AWS Cloud Foundations · AWS Security · DevOps Performance · RedHat LinuxMy stack: Azure · AWS · Terraform · Bicep · Azure DevOps · GitHub Actions · Docker · Kubernetes (AKS) · Python · PowerShell · Grafana · Datadog · Entra ID · Zero TrustOpen to Cloud Engineer, DevOps Engineer, SRE, IAM, Azure AD, and Platform Engineer roles where infrastructure is taken seriously.

Experience

1. Product Design Engineer

   Skkp Enterprise Corp

   Jan 2026 — Present · CA, US

   Scaling AI-powered microservices across Azure and AWS - reliability, deployment speed, and cost efficiency.* Achieved 99.9% system reliability with zero post-production compliance defects across multi-environment releases* Increased system capacity by 50% and cut deployment failures by 35% architecting microservices with Azure AI Services and Databricks* Accelerated release velocity by 40% and reduced infrastructure spend by 20% through Terraform automation and resource right-sizing

Education

• The George Washington University

  Master's degree, Computer Science

• Cambridge Institute Of Technology

  B. E, Information Technology

  2015 — 2019