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Lalith Datla
Cloud Engineer | DevOps Engineer | AWS | Terraform | CI/CD
Building secure, automated, and reliable cloud infrastructure.
AWSAzureTerraformCI/CDSecurityObservability
Cloud portrait
Confident, calm, and infrastructure-minded.
Lalith Photo
LD
Lalith Datla
Cloud Engineer and DevOps Engineer focused on secure automation, resilient delivery, and production stability.
Infrastructure as Code
Terraform-led provisioning with repeatable standards.
Security Baseline
IAM discipline, governance, and audit-friendly delivery.
Core focus
AWSAzureTerraformJenkinsCloudWatchGrafana
About
A calm, reliable cloud engineer profile with strong delivery fundamentals.
Cloud Engineer / DevOps Engineer with nearly 4 years of experience delivering AWS and Azure infrastructure, Terraform infrastructure-as-code, CI/CD automation, cloud security, monitoring, and production support. I focus on building environments that are easier to operate, easier to audit, and more resilient in production.
Working style
I bring a measured approach to cloud engineering: build repeatable systems, keep releases predictable, and design operational guardrails that help teams move faster without losing control.
Nearly 4 years of experience supporting cloud infrastructure and DevOps automation.
Hands-on delivery across AWS and Azure with Terraform infrastructure-as-code practices.
Focused on CI/CD pipeline automation, monitoring, cloud security, reliability, and cost awareness.
Comfortable working with production support, runbooks, and cross-functional delivery teams.
Skills
Organized capabilities that map cleanly to cloud engineering and DevOps roles.
The skill set is grouped to make scanning easy for recruiters while still showing the technical breadth expected from cloud operations, automation, and support work.
Infrastructure & Automation
TerraformAWS CLIBashGitHub ActionsGitLab CIJenkins
DevOps Tools
JenkinsGitHubGitLabSonarQubeServiceNowJIRAConfluence
Monitoring & Logging
CloudWatchPrometheusGrafanaAppDynamics
Programming & Scripting
JavaPythonShell ScriptingCC++
Databases
MS SQL ServerAWS RDSMongoDBDynamoDB
Web/API
RESTSOAPSpring RESTJerseyPostman
Experience
Timeline-style experience built around impact, reliability, and delivery discipline.
The roles below are written for quick recruiter scanning: role, company, duration, and the kind of work that shaped the profile.
Most recent
Consultant / Cloud Engineer
GE HealthCare
June 2024 – Present
Focused on cloud infrastructure automation, secure provisioning, governance, monitoring, and production reliability for cloud-hosted workloads.
- Automated infrastructure provisioning using Terraform and AWS, cutting deployment time by 50% and improving consistency across environments.
- Implemented IAM policies and role-based access controls to enforce least privilege and secure provisioning.
- Integrated AWS Security Hub and GuardDuty for automated threat detection and real-time security monitoring.
- Deployed monitoring and alerting with Prometheus, Grafana, and CloudWatch, while using CloudWatch Logs Insights to accelerate issue resolution.
- Maintained lifecycle policies, runbooks, and cost-usage reporting to support governance, retention, and resource optimization.
Earlier role
Software Developer
Chubb Limited
January 2022 – May 2024
Worked on CI/CD automation, release reliability, application support, and cloud-aware delivery across development and operations teams.
- Provided L2 production support on a rotational basis and diagnosed more than 200 production issues.
- Created an automated testing framework integrated with Jenkins, streamlining the CI/CD pipeline and enabling weekly production releases.
- Implemented AppDynamics monitoring, reducing response times for critical issues by 40% and improving application stability by 20%.
- Analyzed and debugged complex Java code, reducing resolution time by 50%, decreasing software bugs by 15%, and lowering support tickets by 30%.
- Worked with AWS EC2, S3, RDS, and Lambda while coordinating deployments through Agile and CAB processes.
Foundational role
Software Engineer
SS Solutions
June 2020 – December 2020
Supported internal application engineering, integration workflows, and delivery automation with a strong focus on stability and maintainability.
- Participated in the full SDLC for an internal web application, from requirements gathering through deployment.
- Used JIRA Kanban boards to manage workflows, control WIP, and support a continuous delivery environment.
- Integrated SonarQube to maintain code quality and enforce coding standards.
- Configured Apache Tomcat, Maven, Jenkins, and Git to automate builds and deployments.
Projects / Impact
Representative work themes aligned with cloud engineering and production operations.
These cards present the kind of work shown in the profile without inventing specific company projects or fake metrics.
Cloud Infrastructure Automation with Terraform and AWS
Problem
Manual environment setup created delays and made it harder to keep cloud stacks consistent.
Solution
Used Terraform and AWS automation patterns to provision repeatable infrastructure and standardize environment builds.
Tools used
TerraformAWS IAMEC2S3RDSLambdaAWS CLI
Business impact
Cut deployment time by 50% and improved provisioning consistency across environments.
Secure AWS Account Provisioning and IAM Governance
Problem
New accounts and access paths needed stronger guardrails without slowing delivery teams down.
Solution
Applied least-privilege access, security controls, and auditable provisioning flows across account setup and IAM management.
Tools used
AWS IAMSecurity HubGuardDutyCloudWatchTerraform
Business impact
Improved security posture through IAM policies, Security Hub, GuardDuty, and governance controls.
CI/CD Pipeline Automation using Jenkins, GitHub Actions, and GitLab CI
Problem
Delivery pipelines varied by project and required too many manual release checks.
Solution
Standardized build, test, scan, deploy, and rollback stages across CI/CD workflows.
Tools used
JenkinsGitHub ActionsGitLab CISonarQubeBash
Business impact
Enabled weekly production releases and shortened deployment cycles through automation.
Monitoring and Incident Response using Prometheus, Grafana, CloudWatch, and AppDynamics
Problem
Teams needed clearer visibility into health, alerts, and production issues.
Solution
Built dashboards and alerting workflows that made service behavior easier to see and respond to.
Tools used
PrometheusGrafanaCloudWatchAppDynamicsServiceNow
Business impact
Reduced critical issue response times by 40% and improved application stability by 20%.
Certifications
Badge-style certification display without fake logos or clutter.
These are shown as clean cards so the page remains polished even if official assets are not available.
AWS Certified Solutions Architect – Associate
Credential verified externally
Microsoft Certified Azure Administrator Associate
Credential verified externally
CKA – Certified Kubernetes Administrator
Credential verified externally
Microsoft Certified: Essentials in Generative AI
Credential verified externally
Contact
A clean closing section for recruiters and hiring managers to start a conversation.
Open to Cloud Engineer, DevOps Engineer, and Infrastructure Automation roles.