manupendra@devops: ~/portfolio

$ deploying-scalable-infrastructure --mode=production

manupendra@devops:~$ whoami

> _

DevOps Engineer & Platform Architect

I build scalable cloud infrastructure and automate deployment pipelines that power innovation at scale. 6.5+ years architecting Azure-native platforms, CI/CD for 200+ microservices, and high-performance backend APIs.

Cloud Architecture

Azure, AWS, AKS clusters, multi-region DR strategies

CI/CD Automation

200+ microservice pipelines with zero-downtime deployments

DevSecOps

Checkmarx, SonarQube, Trivy — 100% vulnerability scanning

Observability

LGTM stack, ELK, Prometheus — 66% cost reduction achieved

Infrastructure as Code

Terraform modules, Helm charts, declarative deployments

Performance

30x API optimization, HPA auto-scaling, cluster collocation

$ cat /etc/profile.d/impact.conf

Impact by the Numbers

Real metrics from infrastructure transformations and platform engineering

0

Years Experience

Cloud & DevOps engineering

0

Microservices

Deployed via automated CI/CD

0

Cost Reduction

Observability stack migration

0

AKS Clusters

Managed & migrated

0

Performance Boost

API communication optimization

0

Certifications

CKA, CKAD, AZ-204, AZ-400

$ grep -r "expertise" /var/log/career.log

./skills --list --verbose

A curated selection of my expertise in DevOps and Cloud Computing

AWS
Azure
Kubernetes
Docker
Helm
Terraform
Ansible
GitHub Actions
Jenkins
GitLab CI
ArgoCD
Azure DevOps
Prometheus
Grafana
ELK Stack
CloudWatch
Trivy
SonarQube
HashiCorp Vault
AWS Secrets Mgr
PostgreSQL
MySQL
MongoDB
DynamoDB
Kafka
Redis
RabbitMQ
Python
Java
Scala
Bash
JavaScript
Node.js
Git
Linux Sys Admin
Networking
$ cat /var/log/work-history.log | head -20

Work Experience

Sr. Digital Engineer 2 (Lead Engineer)

Tata Digital Pvt Ltd. · Payment TechOps

May 2024 — Present
  • Engineered DR switchover strategy for high-concurrency payment systems, transitioning infrastructure across regions with zero data loss.
  • Spearheaded migration of 15+ AKS clusters from NGINX Ingress to Gateway API framework, eliminating long-term technical debt.
  • Designed automated CI/CD framework supporting 200+ microservice deployments with standardized templates and zero-downtime strategies.
  • Implemented LGTM observability stack on AKS, achieving 66% monthly cost reduction vs Azure Application Insights.
  • Deployed RabbitMQ & ELK Stack with Filebeat on AKS for end-to-end distributed application monitoring.
  • Built reusable Terraform modules for Azure resources (VMs, Web Apps, AKS) enabling consistent multi-environment deployments.
  • Architected DevSecOps framework with Checkmarx (SAST), DefectDojo, and SonarQube for 100% pre-deployment vulnerability scanning.
  • Developed automated service recovery solution by creating systemd service files for 7–10 Java Spring Boot applications across ~20 Azure Linux VMs, enabling automatic process startup post-patching — eliminating 4+ hours of manual intervention per maintenance window and saving 95% of recovery time. 🏆 Quarterly Employee Award ✨
KubernetesTerraformAzure DevOpsELKLGTMHelmDockersystemd

Associate, Analytics Engineering — DevOps

MSCI Inc.

June 2019 — May 2024
  • Led the lift-and-shift migration of services from Azure Cloud to an on-premises Rancher Kubernetes cluster, achieving a 30x improvement in API-to-API communication through cluster collocation.
  • Authored YAML manifests for Azure DevOps pipelines to build and push Docker images to Azure Container Registry (ACR) and deploy Helm charts to AKS clusters (Deployments, Secrets, Ingress, ConfigMaps, PVC, PV) with HPA for autoscaling.
  • Provisioned PVC and PV Kubernetes objects to persist pod log files (JVM heap dumps, GC logs) to NFS-backed Azure Files storage.
  • Configured NGINX Ingress Controller for service load balancing and enforced TLS/SSL termination for secure API communication.
  • Created Azure DevOps build pipelines for Gradle-based Java and Scala projects, publishing versioned Docker images to ACR.
  • Designed application deployment pipelines using Azure Pipelines for streamlined releases across Dev, UAT, and Production environments.
  • Implemented REST endpoints for readiness and liveness probes to ensure robust container health monitoring.
  • Integrated WhiteSource vulnerability scanning into the container build process to enforce security compliance before deployment.
  • Configured Dependabot with Gradle to automatically generate pull requests for dependency updates, proactively addressing security vulnerabilities.
  • Implemented Azure Application Insights to monitor container resource utilization (memory, CPU, request throughput) and configured alerting rules for proactive incident response.
  • Integrated Application Insights with services for centralized logging and telemetry collection using the OpenTelemetry (OTel) agent.
  • Integrated SonarQube with the CI pipeline using the Scoverage tool to enforce code quality standards and track code coverage metrics.
  • Developed Bash scripts to automate repetitive pipeline tasks, reducing manual intervention and improving deployment consistency.
KubernetesDockerAzure DevOpsHelmTerraformNGINX IngressSonarQubeBash

Associate, Analytics Engineering — Developer

MSCI Inc.

June 2019 — May 2024
  • Designed and implemented a high-performance REST API server using JAX-RS and Scala, leveraging Scala's functional and object-oriented capabilities to deliver efficient, scalable, and maintainable code.
  • Implemented concurrent and parallel processing using Scala Futures, Parallel Collections, and advanced collection operations to significantly improve application performance and throughput.
  • Managed asynchronous task execution using CompletableFuture, ensuring efficient utilization of system resources and optimized performance for multi-threaded applications.
  • Implemented API authorization using OAuth 2.0, JWK, and JWT to enforce secure access control across services.
  • Integrated SonarQube with the Scoverage tool and increased code coverage from 60% to 91%, improving overall code quality and reducing technical debt.
  • Optimized build and regression test performance by implementing parallel execution of JUnit tests written with ScalaTest (WordSpec), reducing overall test duration by 30–40%.
  • Developed a performance and load testing framework using Gatling to benchmark and validate the scalability of the analytics engine API.
  • Authored complex SQL queries against relational databases to validate data integrity returned by the DB API layer.
  • Developed a Python automation tool to publish TeamCity test results to Confluence pages, streamlining reporting workflows.
ScalaJavaJAX-RSPythonOAuthGatlingScalaTestSQL
$ ls -la /etc/certifications/

Certifications

CKA Badge

CKA

Certified Kubernetes Administrator

CNCF · Valid till July 2026
CKAD Badge

CKAD

Certified Kubernetes Application Developer

CNCF · Valid till July 2026
AZ-204 Badge

AZ-204

Azure Developer Associate

Microsoft · Valid till Oct 2026
AZ-400 Badge

AZ-400

Azure DevOps Engineer Expert

Microsoft · Valid till Oct 2026
$ git log --oneline --graph /projects/

Featured Projects

$ cat /etc/education.conf

Education

Bachelor of Engineering — Computer Engineering

Fr. Conceicao Rodrigues College of Engineering · Mumbai University

7.93 CGPA · July 2015 — May 2019

$ ssh connect@manupendra.dev

Let's Connect

Ready to discuss platform engineering solutions? I'd love to hear about your infrastructure challenges.