You will get Enterprise Document Intelligence Platform
Top Rated
Top Rated
Project details
InsightFlow AI Cloud is an enterprise AWS cloud architecture project focused on building a scalable, real-time analytics and AI-driven data platform for modern business operations.
The project included API Gateway integration, serverless processing, Kubernetes-based microservices, event-driven data pipelines, centralized data storage, AI/ML model integration, monitoring, security controls, CI/CD automation, and real-time analytics workflows.
The platform architecture was designed for high scalability, secure data processing, intelligent insights, and continuous delivery across enterprise environments.
AWS, Cloud Architecture, Real-Time Analytics, AI/ML, Kubernetes, Lambda, API Gateway, Data Lake, Event-Driven Architecture, Microservices, CI/CD, Cloud Security, DevOps, Monitoring, Automation
#AWS #CloudArchitecture #RealTimeAnalytics #AI #MachineLearning #Kubernetes #AWSLambda #APIGateway #DataLake #Microservices #DevOps #CloudSecurity #CI_CD #CloudNative #DataEngineering
The project included API Gateway integration, serverless processing, Kubernetes-based microservices, event-driven data pipelines, centralized data storage, AI/ML model integration, monitoring, security controls, CI/CD automation, and real-time analytics workflows.
The platform architecture was designed for high scalability, secure data processing, intelligent insights, and continuous delivery across enterprise environments.
AWS, Cloud Architecture, Real-Time Analytics, AI/ML, Kubernetes, Lambda, API Gateway, Data Lake, Event-Driven Architecture, Microservices, CI/CD, Cloud Security, DevOps, Monitoring, Automation
#AWS #CloudArchitecture #RealTimeAnalytics #AI #MachineLearning #Kubernetes #AWSLambda #APIGateway #DataLake #Microservices #DevOps #CloudSecurity #CI_CD #CloudNative #DataEngineering
Programming Languages
PHP, JavaScript, PythonCoding Expertise
Performance Optimization, Security, DesignWhat's included
| Service Tiers |
Starter
$200
|
Standard
$500
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 2 | 2 | 3 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $200
28 reviews
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DC
David C.
Jul 28, 2026
Production Hardening & HIPAA Technical Controls
A true pro. Excellent work, super easy to communicate with. Very responsive.
HT
Harold T.
Jul 2, 2026
Platform Engineer + AWS expert
I enjoyed working with Ehteshamuddin. I wouldn't hesitate to work with him again.
DC
David C.
Jun 30, 2026
AWS DevOps Engineer for HIPAA-Oriented Clinical Portal
Excellent, professional, timely, 10/10, highly recommend. Thank you!
LS
Larry S.
May 4, 2026
Docker Service Setup and Container Migration
Ehteshamuddin was excellent to work with! Very professional and completed the job succesfully.
TF
Tiffany F.
Apr 10, 2026
Survey Platform Developer (Decipher/Forsta) – Modular Architecture
Ehteshamuddin was a pleasure to work with. He communicated clearly throughout the project, stayed organized, and consistently delivered high-quality work on time. He was proactive in solving issues and paid close attention to detail, which made the collaboration smooth and efficient. I’d be happy to work with him again and would recommend him to others.
About Ehteshamuddin
Senior DevOps Engineer | AWS, GCP, Kubernetes | HIPAA and SOC 2
100%
Job Success
Phoenix, United States - 3:51 pm local time
10+ years in DevOps. Top Rated Plus, 100% Job Success.
RECENT PROJECTS
Built an on-prem RKE2 Kubernetes cluster from scratch for a company preparing for SOC 2 and HIPAA. Rancher for management, Cilium with WireGuard for encrypted pod traffic, GPU nodes for their ML workloads, Longhorn for storage, Velero for backups, ArgoCD for deployments. Enforced SSO through Entra ID on every cluster and SSH access point because their auditors required it.
Took a healthcare data platform through HIPAA hardening on AWS. ECS Fargate, Aurora PostgreSQL, private subnets, TLS everywhere, proper secrets handling. Phase one was making it work, phase two was making it pass an audit. Different skill sets, and I do both.
Modernized AWS infrastructure for a holding group running four brands. Moved everything to ECS Fargate and Aurora Multi-AZ, set up blue-green deployments, put CloudFront in front. Midway through we found a security breach in their GitHub org and I handled the full remediation across every repo.
Fixed a production Aurora MySQL performance problem that had an app timing out during peak hours. Root cause was tmp table spill to disk. Tuned it, added a reader instance, zero downtime.
I also do the unglamorous work that keeps things running: CI/CD pipelines (GitHub Actions, GitLab CI, ArgoCD), Terraform for everything, monitoring with Prometheus and Grafana, cost cleanup, VPN and networking issues, and database migrations.
INDUSTRIES I KNOW WELL
Healthcare (HIPAA is second nature at this point), fintech and payments (PCI DSS), and B2B SaaS.
WHAT YOU GET WORKING WITH ME
Infrastructure that is written down in code, documented, and reproducible. I answer messages fast, and I will tell you upfront if something is a bad idea or if I am not the right person for it.
Send me your project details and current setup. I will give you an honest read on scope and effort before you spend anything.
Steps for completing your project
After purchasing the project, send requirements so Ehteshamuddin can start the project.
Delivery time starts when Ehteshamuddin receives requirements from you.
Ehteshamuddin works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Analysis & Solution Architecture Design
Gather business goals, data sources, security needs, and scalability requirements. Design a cloud-native architecture, define AWS services, and create a detailed implementation roadmap.
Platform Development, Integration & Automation Setup
Build cloud infrastructure, configure microservices, integrate data pipelines, implement AI/ML capabilities, and establish CI/CD workflows for automated deployments.