Hands-on technical bootcamps, Cisco CCNA labs, university symposium keynotes, and enterprise cloud workshops conducted by Aajera Banu S.
AWS & Networking Trainer @ LIVEWIRE
I believe great infrastructure should be predictable, automated, and resilient. My work centers on designing automated cloud workflows using Terraform (IaC), containerizing applications with Docker, and establishing zero-touch CI/CD pipelines with Jenkins and GitHub Actions.
Currently, as an AWS and Networking Trainer at LIVEWIRE, I train engineering students in cloud architecture (EC2, S3, VPC, IAM) and Cisco CCNA networking (routing, switching, subnetting, VLANs). Teaching foundational concepts daily has strengthened my understanding of system architecture from the ground up.
Alongside DevOps, my background in MSc Data Science at Periyar University trains me to approach infrastructure telemetry, system monitoring, and automation logic with structured analytical rigor.
Architecting secure VPCs, EC2 compute instances, S3 storage buckets, and IAM role-based access controls.
Multi-stage Docker builds, Jenkins automation pipelines, and GitHub Actions workflows for rapid, reliable releases.
Routing protocols, subnet calculations, VLAN segmentation, and packet troubleshooting in active lab topologies.
Analytical problem-solving and structured algorithmic reasoning from Periyar University's MSc program.
Production-ready tooling and cloud frameworks I use to build, automate, and scale systems.
Experience my automated delivery workflow simulated live — from code commit to AWS production.
Production-grade implementations in AWS cloud automation, microservices, and enterprise networks.
AWS & Terraform
Architected and automated an enterprise AWS cloud topology using modular Terraform code. Configured dedicated VPC, public/private subnets across multiple AZs, NAT Gateways, EC2 instances, S3 storage buckets, and remote state locking.
CI/CD & Docker
Designed a continuous integration and automated deployment pipeline for containerized backend services. Integrated automated linting, unit test execution, multi-stage Docker builds, container vulnerability checks, and automated registry push on GitHub webhooks.
Nginx & Docker
Configured a production-grade Nginx reverse proxy and API Gateway managing traffic across multi-container Docker environments. Implemented SSL/TLS termination, custom load balancing algorithms, rate limiting, and real-time backend service health monitoring.
Training students and young engineers in AWS Cloud Computing and Cisco CCNA networking through theory and hands-on laboratory exercises.
Assisted in cloud infrastructure provisioning, Linux server administration, containerized application deployment workflows, and service health monitoring.
Advanced studies focusing on analytical modeling, statistical data analysis, data engineering algorithms, and structured problem-solving workflows directly applicable to complex infrastructure telemetry and automated systems.
Rigorous undergraduate foundation in pure and applied mathematics, discrete structures, numerical analysis, and mathematical modeling — cultivating strong analytical rigor, algorithmic problem-solving, and computational logic.
DevOps deep dives, cloud architectural blueprints, and hands-on tutorials covering AWS, Docker, Kubernetes, Terraform, and Cisco CCNA Networking.
A comprehensive blueprint for architecting isolated public and private subnets across multiple Availability Zones, configuring highly available NAT Gateways, and managing least-privilege Network ACLs and Security Groups.
Step-by-step implementation of an automated continuous deployment pipeline that compiles multi-stage Docker containers, verifies container health checks, and hot-reloads Nginx upstream configurations with 0% downtime.
How to structure enterprise Terraform repositories to prevent concurrency race conditions, maintain encrypted state histories in AWS S3, and design reusable parameter-driven infrastructure modules across environments.
Why mastering IP subnetting, CIDR calculations, OSI layers, DNS resolution, and TCP/IP flows allows DevOps engineers to diagnose container mesh routing and cloud ingress bottlenecks 10x faster.
Empowering 20+ engineering students and professionals with hands-on AWS infrastructure labs, Cisco packet tracing, and real-world mentorship.
Conducted an intensive 3-day training bootcamp covering AWS Compute (EC2), VPC Networking, Docker container deployment, and CI/CD workflow automation for aspiring cloud engineers.
Led a masterclass on Cisco networking fundamentals, VLSM subnetting calculations, switch VLAN trunking, and simulated enterprise routing topologies using Cisco Packet Tracer.
Invited as guest speaker to guide college students on transitioning from academic programming to production cloud infrastructure, modern DevOps tooling, and open-source contributions.
Presented research findings on combining cloud infrastructure monitoring metrics (AWS CloudWatch, Prometheus) with time-series machine learning models for proactive anomaly alerting.
Open for Cloud & DevOps roles, corporate infrastructure bootcamps, and high-impact engineering collaborations.
Drop a note directly to Aajera's inbox.
Hands-on DevOps, Cloud, and Infrastructure Automation practitioner focused on CI/CD pipelines, containerization, and modern deployment workflows. Experience with Docker containerization, Jenkins & GitHub Actions CI/CD pipelines, Linux administration, Terraform infrastructure provisioning, AWS cloud fundamentals (EC2, S3, VPC, IAM), and Nginx reverse proxy configuration. Academic background in MSc Data Science from Periyar University providing structured, analytical workflow optimization. Seeking opportunities to contribute to real-world engineering environments as a DevOps or Cloud Engineer.