Cloud Systems Engineer | AWS Automation | DevOps & Infrastructure

Building secure, scalable automation for cloud and on-prem platforms.

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About Me

I’m a Systems Engineer with 10+ years of experience designing, automating, and supporting large-scale infrastructure across AWS and on-prem environments. I specialize in serverless automation, lifecycle integration systems, Kubernetes workloads, identity integrations, and secure infrastructure design.

Skills

Cloud & Infrastructure

  • AWS (Lambda, DynamoDB, EventBridge, SQS, S3, EKS, Fargate, VPC, CloudWatch)
  • Kubernetes (EKS, Helm)
  • Serverless Architecture
  • Hybrid & On-Prem Integrations

Programming & Scripting

  • Python, Go, TypeScript, Bash, PowerShell
  • REST / JSON Services
  • Automation & Internal Tooling

DevOps & Automation

  • CI/CD: AWS CDK, GitHub Actions
  • Docker, Containers
  • Infrastructure as Code
  • Monitoring & Logging (CloudWatch, FluentBit, ADOT)

Security & Identity

  • SAML / OIDC Integrations
  • Threat Modeling
  • Secrets Management
  • Network & IAM Security

Databases & Storage

  • DynamoDB, MongoDB, RDS, Redshift
  • File/Batch Automation Pipelines

Platforms & Tools

  • Linux & Windows Systems
  • Ansible / Ansible Tower
  • ServiceNow, Adobe Analytics

Projects & Implementations

AWS — System Engineer II

User Lifecycle Automation

I built Python-based automation applications that manage the full user lifecycle, including provisioning, deactivation, rapid termination, and group synchronization. These applications run on AWS Lambda, triggered by EventBridge schedules and SQS message queues. They integrate with internal and third-party APIs to validate users, calculate lifecycle state, and keep identity groups aligned.

AWS: Lambda, DynamoDB, CloudWatch, EventBridge, SQS, S3, IAM, Secrets Manager

  • User provisioning
  • User deactivation
  • Rapid termination workflows
  • Group synchronization
  • Ingesting third‑party activity logs
  • CloudWatch dashboards & alarms

CI/CD Pipeline & Containerized Applications

I developed a CI/CD pipeline in TypeScript that builds Docker images and deploys containerized applications to Kubernetes running on AWS Fargate (serverless containers). The pipeline installs a third-party RPM onto an Amazon Linux 2 base image, applies configuration templates, and generates a hardened Docker image for deployment. This architecture enabled secure communication between internal data sources and external SaaS providers.

AWS: EC2, VPC, NAT, IGW, Elastic IP, Subnets, EKS, Fargate, CloudWatch, NLB, Security Groups, Secrets Manager, ADOT
Other tools: External Secrets Operator, Python, Bash, AWS CDK, Helm

  • CloudWatch dashboards & alerting
  • FluentBit sidecars for container log aggregation
  • VPC peering to securely connect to internal data sources

Hybrid SaaS Automation (On‑Prem + AWS)

I automated deployment, maintenance, and upgrades for both on‑premises SaaS offerings and their AWS equivalents.

Technology Stack: EC2, VPC, NAT, IGW, Elastic IP, Subnets, CloudWatch, NLB, Secrets Manager, Redshift, RDS, S3, MongoDB, Windows/Linux EC2, JSON, AWS CDK

  • Bluescape (on‑prem)
  • Tableau Server (on‑prem)

Single Sign‑On Integrations (SAML / OIDC)

Configured and deployed SSO integrations using SAML and OIDC through identity providers and application‑side controls.

  • Bluescape (on‑prem)
  • ServiceNow (SaaS)
  • Tableau Cloud (SaaS)
  • Adobe Target (SaaS)
  • Adobe Analytics (SaaS)
  • Tableau Server (on‑prem)

SaaS Evaluation & Security Reviews

Assessed third‑party SaaS products for integration with internal AWS environments.

  • Designed architecture for lifecycle integration, logging, monitoring, and alerting
  • Created threat models for security review

Bloomberg L.P. — Senior Backend System Engineer

Maintenance Window Coordination Service

Maintained and helped develop a Python‑based service using SOAP/XML to coordinate maintenance windows across 400+ servers and 40+ clusters.

Backend Server Lifecycle Automation

Automated server commissioning and decommissioning workflows using Ansible and Ansible Tower. Work included scripting, monitoring, debugging, and improving lifecycle reliability.

Disk Usage Reporting Automation

Created a Python script that collected disk‑usage data across 400+ backend servers to improve visibility, budgeting, and capacity planning.

Bloomberg L.P. — Front End System Engineer

FIX Server Automation

Built two Python scripts that generically start and stop FIX servers using config‑driven logic, eliminating the need to maintain separate scripts and improving efficiency.

Automated FTP File Processing

Developed a Bash‑based automation pipeline for processing incoming FTP files based on account login and configuration rules, reducing onboarding time by 70%.

Bloomberg L.P. — Senior Operations Support Analyst

Automated Server Health Reporting

Created a UNIX shell script that generated automated health‑status reports for 500+ servers, eliminating repetitive manual checks and reducing operational workload.