Profile: Cloud Architect (15+ Years Experience)

Overview

Experienced and strategic Cloud Architect with over 15 years of end-to-end expertise in designing, implementing, and managing scalable, secure, and highly available cloud infrastructure solutions. Adept at delivering complex cloud projects across Google Cloud Management (GCM), Amazon Web Services (AWS), Microsoft Azure, and IIS Server environments. Skilled in both greenfield infrastructure design and legacy modernization, ensuring operational excellence and business continuity.

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Core Competencies

• Cloud Platforms:

  • Expert-level proficiency in Google Cloud Platform (GCM), AWS, and Microsoft Azure.

  • Hands-on with IIS Server deployment, configuration, and optimization.

  • Deep knowledge of CentOS and Linux-based infrastructure setups from scratch.

• Infrastructure Architecture:

  • Designing and managing cloud-native and hybrid cloud architectures.

  • Infrastructure automation using Terraform, CloudFormation, Ansible, and Bash/Python scripting.

  • On-prem to cloud migration strategies and execution.

• Microservices & Application Development:

  • Building and orchestrating microservices using Node.js, Python, .NET, and PHP.

  • Architecting scalable backend APIs and cloud-native applications.

  • Using Docker and Kubernetes for containerized microservices.

• Streaming & Messaging:

  • Designing robust Kafka-based messaging pipelines and real-time data processing systems.

• IoT & Edge Infrastructure:

  • Architecting cloud-based IoT solutions with secure device onboarding, telemetry ingestion, and real-time analytics.

  • Experience in designing fault-tolerant IT service layers for IoT networks.

• DevOps & CI/CD:

  • Implementation of CI/CD pipelines using tools like GitLab CI, GitHub Actions, Jenkins, and Azure DevOps.

  • Cloud security best practices and compliance enforcement.

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Key Achievements

• Architected and delivered over 50+ cloud infrastructure projects across startups, mid-scale enterprises, and Fortune 500 companies.

• Led cloud transformation programs, reducing infrastructure costs by up to 40% while improving system resilience and uptime.

• Designed IoT architecture for a smart city project integrating real-time Kafka streaming with GCP BigQuery and AWS Lambda.

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Tools & Technologies

• Cloud Platforms: GCP, AWS, Azure

• OS: CentOS, Ubuntu, Windows Server

• Languages: Python, Node.js, .NET Core, PHP

• Containers: Docker, Kubernetes, Helm

• Messaging & Stream Processing: Apache Kafka, MQTT

• Infra-as-Code: Terraform, CloudFormation, Ansible

• DevOps: Git, Jenkins, Azure DevOps, GitLab CI/CD

• Monitoring: Prometheus, Grafana, CloudWatch, Stackdriver

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✅ Case Study 1: Enterprise Cloud Migration for a Global Retail Chain

Client: Subleased through Panzer Technologies >> Evoluscent ( USA)

Industry: Retail & E-Commerce

Objective: Modernize legacy IT systems and migrate to Azure for scalability and global availability.

Challenge:

The client operated on outdated on-premises Windows Server and IIS infrastructure, which led to frequent downtime during high-demand sales periods. There was a growing need to centralize infrastructure, enhance performance, and implement a DevOps pipeline for rapid release cycles.

Solution:

• Designed a hybrid cloud architecture using Azure Virtual Network (VNet) and ExpressRoute to connect on-premise data centers securely.

• Migrated 200+ workloads including databases, custom .NET applications, and IIS-based services to Azure App Services and Azure SQL Database.

• Implemented Azure DevOps pipelines for automated build, test, and deployment of applications.

• Set up Azure Application Gateway with WAF for secure and resilient traffic management.

• Used Azure Monitor and Log Analytics for unified observability and performance tuning.

Results:

• Achieved 99.99% uptime, improving customer satisfaction.

• Reduced infrastructure cost by 35% within the first year.

• Deployment cycles accelerated from weekly to daily.

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✅ Case Study 2: IoT-Enabled Predictive Maintenance Platform

Client: Subleased through Advent Global Solution >> Voltas, Industrial Equipment (Chiller & Industrial cooling unit), Manufacturer

Industry: Manufacturing & IoT

Objective: Develop a real-time predictive maintenance solution using Azure cloud.

Challenge:

Client needed a platform to collect telemetry data from thousands of remote industrial IoT devices, process this data in real-time, and detect anomalies before equipment failure.

Solution:

• Designed an Azure IoT Hub-based ingestion layer to connect thousands of edge devices.

• Used Azure Stream Analytics and Azure Functions (Python) for real-time event processing and anomaly detection.

• Stored telemetry in Azure Data Lake and processed it with Azure Databricks for predictive modeling.

• Visualized insights through Power BI dashboards integrated with Azure Synapse Analytics.

• Deployed role-based access control (RBAC) and Azure Key Vault for data and device security.

Results:

• Detected anomalies with 92% accuracy within 6 months.

• Prevented equipment failure, saving $1.2M/year in maintenance costs.

• Enabled remote monitoring across 3 continents with less than 2-second latency.

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✅ Case Study 3: Microservices-Based FinTech API Platform

Client: FinTech Startup

Industry: Financial Services

Objective: Build a secure and scalable cloud-native API platform for digital lending.

Challenge:

Client required a modular and secure backend platform to offer digital lending services via APIs, with minimal downtime and support for multiple integrations.

Solution:

• Architected the entire backend using Azure Kubernetes Service (AKS) for orchestrating microservices written in Node.js and .NET Core.

• Leveraged Azure API Management (APIM) for secure, rate-limited API exposure to partners and customers.

• Used Azure Cosmos DB for highly available, geo-replicated document storage.

• Integrated Azure Event Grid and Azure Service Bus for real-time alerts and event-driven architecture.

• Enforced security using Azure Active Directory B2C, OAuth 2.0, and role-based access control.

Results:

• Platform processed over 1 million API calls/month with 99.999% uptime.

• Onboarded 50+ banking partners via secure API channels.

• Reduced time-to-market for new lending products by 60%.

Case Study: Digital Banking System Implementation for Bank of Tanzania

Client: Bank of Tanzania (BoT)

Industry: Central Banking & Financial Regulation

Tech Stack: Node.js, Python, CentOS, Microsoft Azure

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Project Overview

The Bank of Tanzania sought to implement a secure, scalable, cloud-based banking system that would modernize its legacy infrastructure, digitize core operations, and improve financial services delivery across the country. The project involved the complete design and deployment of a core banking and financial transaction management system using open-source technologies hosted on Microsoft Azure.

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Challenges

• Outdated legacy systems with limited API integration capability.

• Lack of real-time reporting and transaction analytics.

• Manual reconciliation and limited mobile/digital banking interfaces.

• Need for a high-security infrastructure complying with East African central banking regulations.

• Requirement for 24/7 uptime and disaster recovery strategy.

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Solution Architecture

🔧 Infrastructure Setup

• Built a custom cloud infrastructure from scratch using CentOS-based VMs on Azure.

• Deployed secure Azure Virtual Networks (VNet), Network Security Groups (NSGs), and Bastion Hosts for admin access.

• Created a 3-tier architecture:

  • API Layer – Developed with Node.js (Express) for RESTful service endpoints.

  • Processing Layer – Developed with Python for complex transaction workflows, compliance checks, and AI-powered fraud detection.

  • Data Layer – Azure Database for PostgreSQL with encrypted storage.

🛠 Application Development

• Implemented the core banking system using microservices architecture on Azure Kubernetes Service (AKS).

• Used Node.js for authentication, KYC onboarding, and account APIs.

• Python services handled real-time transaction processing, regulatory rule engines, and audit trails.

• Developed secure internal admin portal and customer web dashboard with full role-based access.

🔐 Security & Compliance

• Integrated Azure Active Directory (AAD) and OAuth 2.0 for secure access control.

• Enforced TLS 1.2, data encryption at rest and in transit, and Azure Key Vault for sensitive key management.

• Complied with Basel III, IFRS, and Tanzanian financial compliance norms.

📈 Monitoring & Disaster Recovery

• Used Azure Monitor, Log Analytics, and Prometheus-Grafana stack for full observability.

• Implemented disaster recovery using Azure Site Recovery (ASR) with geo-redundancy and weekly DR drills.

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Key Deliverables

• ✅ Full Core Banking System (Accounts, Ledger, Loans, KYC, Reports)

• ✅ Real-time Transaction Engine with Audit & Fraud Checks

• ✅ Secure Admin Portal + REST API Gateway for 3rd Party Services

• ✅ High-Availability CentOS Infrastructure on Azure Cloud

• ✅ DR & Backup Policy in Place (RTO: 15 mins, RPO: 5 mins)

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Results

Metric	Before Implementation	After Implementation
System Uptime	88%	99.99%
Transaction Latency	~5–10 seconds	< 1.2 seconds
Reconciliation Time	3 days	Real-time
Fraud Alerts Detected	Manual	AI-powered, real-time
Customer Service Requests	High	Reduced by 50% via self-service portal