Cloud architecture that survives real operations
Design AWS services around secure ingestion, transformation, storage, and retrieval of telemetry and enterprise data using Lambda, DynamoDB, S3, IoT services, Kinesis, and Kafka/MSK.
Cloud-native engineering for high-signal industrial systems
Dev Patel
Full-stack Software Engineer III with 4+ years of experience building cloud-native, event-driven platforms across manufacturing, operations, and customer-facing systems.
- Current focus
- AWS serverless, IoT telemetry, Kafka/MSK, Terraform
- Experience
- 10+ production initiatives at Glidewell Dental
- Based in
- Irvine, California
Serverless
IoT telemetry
Kafka / MSK
Dashboards
Infrastructure
Bedrock + LLM
What I Bring
I turn complex factory, device, and data systems into reliable software products.
My work sits where machines, cloud infrastructure, operations teams, and customer-facing systems meet: ingesting telemetry, designing backend services, automating environments, and shaping dashboards that make operational decisions faster.
Dashboards people can actually run decisions from
Build real-time analytics dashboards and reporting workflows that surface production telemetry, anomaly insights, operational status, and customer-facing data.
Automation across delivery and infrastructure
Use Terraform, Kubernetes, Jenkins/CloudBees, GitLab CI/CD, and pragmatic engineering discipline to reduce manual work and keep delivery consistent.
Engineering Shape
A full-stack engineer with depth in distributed cloud systems.
I am strongest in product-facing platform work: building the services, interfaces, and automation that connect edge devices, cloud infrastructure, internal users, and business outcomes.
IoT + telemetry
IoT Core, Greengrass, SiteWise, IoT Events, IoT Analytics
Event Layer
Kafka / MSK, Kinesis, SQS, SNS, REST APIs
Cloud Services
Lambda, API Gateway, VPC, S3, DynamoDB, RDS, Cognito, IAM
User Experience
React, Angular, real-time dashboards, reporting, alerts
Backend and integration
REST APIs, microservices, event contracts, cloud storage, data transformation, service orchestration.
Frontend product systems
Accessible dashboards, responsive UI, operator workflows, chart-heavy reporting, stateful interfaces.
Infrastructure and delivery
Terraform, Kubernetes, Jenkins/CloudBees, GitLab CI/CD, cloud networking, deployment hygiene, production support.
AI-assisted workflows
Amazon Bedrock, RAG pipeline design, prompt engineering, and context-aware querying over structured operational data.
Selected Work
Project stories shaped around resume-backed engineering impact.
These examples mirror the resume: serverless data synchronization, automated incident routing, telemetry platforms, dashboards, infrastructure, and AI-powered workflow automation.
Serverless enterprise data sync pipeline
Designed and deployed a serverless data synchronization pipeline that ingests, normalizes, and persists enterprise data from external platforms into DynamoDB for downstream reporting, dashboards, and operational workflows.
- AWS Lambda and DynamoDB for serverless processing and persistence
- Terraform-managed cloud infrastructure
- Data availability improvements for reporting and dashboard consumers
Event-driven automated incident routing
Built an event-driven service that monitors production telemetry, classifies failures, and routes incidents to external ticketing systems in real time, replacing manual triage with automated zero-touch routing.
IoT telemetry and event processing pipelines
Architected AWS IoT and Kafka/MSK pipelines processing 1M+ daily telemetry events across production systems, reducing operational visibility latency from minutes to sub-second response times.
Secure file ingestion infrastructure
Designed Terraform-provisioned AWS Transfer Family SFTP infrastructure to automate secure file ingestion from on-premise systems into S3, eliminating manual transfer workflows.
AI-powered operational workflows
Designed tooling and workflow automation using Amazon Bedrock, RAG pipeline design, prompt engineering, and context-aware querying over structured operational data.
Experience
Built in production, grounded in fundamentals.
I started with computer science fundamentals, then moved into production engineering across cloud platforms, telemetry, dashboards, integrations, AI workflows, and deployment automation.
Sep 2021 - Present
Software Engineer III
Glidewell Dental
- Own end-to-end delivery of 10+ concurrent projects across manufacturing, customer management, customer experience, and dental production.
- Architect AWS IoT and Kafka/MSK pipelines processing 1M+ daily telemetry events across production systems.
- Provide technical direction across backend architecture, infrastructure, dashboards, and reusable AWS/Terraform patterns.
- Automate Terraform and Jenkins/CloudBees CI/CD workflows while integrating REST APIs and IoT services.
Jul 2021 - Sep 2021
Full Stack Web Developer
Signage Ideas
- Developed and maintained client-facing web applications with responsive, production-ready UI components.
- Collaborated directly with stakeholders to scope requirements, iterate on proposals, and deliver features on schedule.
2017 - 2021
Rutgers University - New Brunswick
Bachelor of Science in Computer Science
Toolbox
A stack broad enough for product delivery and deep enough for platform work.
Languages
Python, JavaScript, Node.js, Java, C, C#, C++
Frontend
React, Angular, HTML, CSS, responsive UI, dashboards, accessible interfaces
AWS and data
Lambda, IoT Core, Greengrass, SiteWise, IoT Events, IoT Analytics, Kinesis, Kafka/MSK, DynamoDB, S3, SQS, SNS, SES, RDS, EC2, VPC, Cognito, IAM, API Gateway, Amplify, Route 53
Delivery
Terraform, Kubernetes, Jenkins/CloudBees, GitLab CI/CD, Git, GitHub, Bitbucket, Azure, GCP
Contact
Let's build something durable, observable, and genuinely useful.
I am open to Software Engineer III roles where full-stack product thinking, cloud architecture, infrastructure discipline, event-driven systems, and AI-assisted workflow automation all matter.
devnandol@gmail.com Irvine, CA (551) 234-1189