About Me

Results-driven AWS DevOps & Solutions Engineer with 4.5+ years of experience specialising in architecting and deploying scalable microservices, streamlining CI/CD pipelines, and delivering enterprise cloud solutions. Proficient in Infrastructure as Code with Terraform, orchestrating containers via Amazon ECS, and automating workflows with GitHub Actions. I build secure, highly available, and cost-efficient cloud solutions that bridge the gap between engineering and business outcomes.

What I'm Doing

DevOps Engineering

Driving CI/CD adoption, automating infrastructure with Terraform & CloudFormation, and accelerating delivery cycles by 40%+.

Cloud Architecture

Designing secure, highly available systems on AWS — from VPCs and ECS clusters to Lambda-powered serverless pipelines.

Solutions Engineering

Architecting end-to-end integrations between enterprise platforms — ADP, Greenhouse, Jira — enabling real-time event monitoring and centralised log ingestion.

Security & Observability

Implementing KMS encryption, IAM Identity Center, WAF, Prometheus + Grafana stacks, and distributed tracing with AWS X-Ray.

Certifications

AWS Solutions Architect

ASSOCIATE · AMAZON WEB SERVICES

AWS Developer

ASSOCIATE · AMAZON WEB SERVICES

My Resume

Experience

Jan 2026
Present

Solutions Engineer

Sumo Logic

Architected end-to-end integrations between Sumo Logic and enterprise platforms including ADP, Greenhouse, Jira, and Google Forms — enabling centralised log ingestion and real-time event monitoring.
Partnered with Data Engineering to design and deploy ingestion pipelines into Databricks using AWS Step Functions, Lambda, S3, RDS, and VPC.
Administered AWS IAM Identity Center — managing users, groups, and RBAC; configured Okta as external IdP for seamless SSO across all AWS accounts.
Applied security best practices including KMS encryption, Secrets Manager, WAF rules, and VPC segmentation with least-privilege network access.

Sumo LogicAWS Step FunctionsLambdaDatabricksIAM Identity CenterOkta SSOKMSWAF

Dec 2021
Dec 2025

DevOps Engineer

Cognizant, Bangalore

Drove AWS DevOps best practices adoption, leading to a 40% faster feature delivery cycle.
Migrated monolithic applications to microservices using Docker and ECS Fargate with Application Load Balancers.
Automated end-to-end AWS infrastructure with modular Terraform — achieving 100% configuration consistency and 40% faster deployments.
Built Prometheus + Grafana + AWS X-Ray monitoring stack, improving incident response time by 30%.
Developed serverless Lambda applications automating DynamoDB, S3, and SNS interactions — reducing operational costs by 25%.

TerraformDockerECS FargateGitHub ActionsPrometheusGrafanaAWS X-RayLambda

Education

B.Tech in Computer Science

IERT Prayagraj

JULY 2017 – JUNE 2021 · 79%

Certifications

AWS Solutions Architect – Associate

AMAZON WEB SERVICES · VERIFIED

AWS Developer – Associate

AMAZON WEB SERVICES · VERIFIED

My Portfolio

SentinelNotify – Serverless Intrusion Notifier

Detects unauthorised system access using Lambda (Python & JS), DynamoDB, and Step Functions. Infrastructure provisioned via modular Terraform. GitHub Actions CI/CD ensures automated testing. On anomaly detection, Lambda triggers SNS alerts and executes remediation workflows.

LambdaDynamoDBStep FunctionsTerraformGitHub ActionsSNS

PDFExtractor – Serverless PDF Processor

Users upload PDFs to S3, triggering a Lambda function to extract text and store as JSON. Deployment fully automated via GitHub Actions — builds Docker container, pushes to ECR, and updates the ECS Fargate service with zero downtime.

LambdaS3ECRECS FargateDockerGitHub Actions

Microservices Deployment Pipeline with IaC

Comprehensive CI/CD pipeline using GitHub Actions and modular Terraform to automate deployment of a multi-tier microservices app to AWS ECS. Manages dev/staging/prod environments using Terraform workspaces. Reduced manual deployment errors by 95%.

TerraformGitHub ActionsECSDockerTerraform Workspaces

Enterprise Platform Integrations — Sumo Logic

End-to-end integrations between Sumo Logic and ADP, Greenhouse, Jira, and Google Forms. Multi-stage data ingestion pipelines into Databricks using Step Functions, Lambda, S3, and RDS for centralised observability across HR and project workflows.

Sumo LogicStep FunctionsLambdaDatabricksRDSS3