California, USA
Yeshwanth Sai Bollu
Cloud Data Engineer
I own the full stack — cloud infrastructure, security operations tooling, and AI training systems — not just data pipelines.
Cloud Data Engineer with 5+ years designing scalable distributed systems, real-time telemetry pipelines, and cloud-native data platforms across AWS, Azure, and GCP — from security operations tooling to AI-driven infrastructure automation. I own the full stack end-to-end: streaming data architectures, Kubernetes-native platforms, identity and compliance governance, and the observability that keeps it all honest.
Experience
Platform Infrastructure & DevOps
Senior Cloud Data Engineer / Cloud & Data Platform Architect
Dec 2024 – Present
- Lead design of enterprise-grade multi-cloud security architecture across AWS, Azure, and GCP, and architect Kubernetes-native platforms (EKS, AKS) with Crossplane-based declarative infrastructure governance
- Built StreamAgent, a data streaming pipeline that ingests and normalizes live security event data, and detection engines across multiple SIEM platforms mapped to the MITRE ATT&CK framework
- Designed real-time telemetry ingestion and anomaly-detection pipelines across distributed cloud workloads, cutting mean time to detection by ~35%
- Led a proof of concept that cut cached-page first-byte latency from 7.4s to ~70ms (100x) and CPU throttling under load by 13x, by redesigning storage into a tiered image/volume/S3 split with per-site object caching
- Led AWS cost optimization cutting monthly cloud spend ~35% (≈$3,950/mo saved) via Savings Plans, decommissioning idle infrastructure, and consolidating five dormant AWS accounts
- Designed a zero-standing-privilege identity and access architecture spanning Azure, AWS, GitHub, and Slack — Conditional Access, enforced MFA, and just-in-time privileged role activation instead of standing admin access
- Own billing systems, infrastructure monitoring, and day-to-day DevOps workflows across the platform; mentor engineers on distributed systems and cloud-native design
Government Sector Agency
[Placeholder role]
[Placeholder dates]
- Built and maintained Power Automate workflows and Power Apps applications for multi-department-facing government sites
- Owned the backends and app logic powering content flow and reporting across departments
- Supported executive reporting workflows for state government stakeholders
- Deployed and verified secure file transfer solutions (FTPS/SFTP) bridging legacy mainframe systems to cloud storage
Cloud Automation Systems Company
Software Developer, Cloud Automation Systems
Aug 2024 – Nov 2024
- Designed and developed backend automation modules for Azure-hosted microservices environments
- Engineered modular Terraform libraries to provision AKS clusters, networking, storage, and identity services
- Built CI/CD automation frameworks in Azure DevOps for automated build, test, and deployment workflows
- Integrated Azure Monitor APIs for telemetry collection and application performance tracking
Distributed Systems Engineering Firm
Cloud & Distributed Systems Engineer (Team Lead)
Apr 2021 – Aug 2022
- Architected AWS-based distributed application environments using EC2, RDS, Lambda, and S3
- Designed backend deployment automation integrating Jenkins, Docker, and Kubernetes, with Terraform for consistent environment replication
- Engineered system monitoring frameworks using Prometheus and Grafana
- Led architecture planning for cloud migration and modernization initiatives, and mentored a 12-person engineering team
Cloud Training & Education Platform
Cloud Software Engineer (progressed from Cloud & DevOps Intern)
June 2019 – Apr 2021
- Developed automated provisioning systems using Terraform and CloudFormation for AWS-based applications
- Built Python automation scripts for infrastructure validation and scheduled task execution
- Implemented CI/CD workflows integrating Git, Jenkins, and Docker
- Started as an intern supporting AWS provisioning scripts and cloud-migration proofs of concept, and progressed into the full engineering role
Projects
View all projects →
Skills
Cloud & Infrastructure
Data Engineering
CI/CD & Observability
Security Operations
Identity & Access Management
AI/ML & Automation
Low-Code & Government Platforms
Education
University of Dayton
Master of Science in Computer Science
May 2024
GPA 3.51/4.0 — included a year split between coursework and a TA role focused on automation
Lovely Professional University
Bachelor of Technology in Computer Science
June 2020
GPA 7.13/10