Cloud Professional (AWS-Focused) | Scalable & Secure Architecture
Empowering Business Growth with Scalable, Secure AWS Architectures
About Me
Hi, I am Tatenda Manyepa, a Cloud Professional (AWS-Focused) passionate about helping organisations unlock the full potential of the cloud through secure, scalable, and automated architectures. I design cloud solutions that drive efficiency, resilience, and innovation, blending strategic thinking with hands-on technical expertise.
With practical experience in AWS architectures, DevOps practices, and infrastructure automation, I specialise in optimising infrastructure, streamlining deployment, and supporting cloud adoption strategies that align with business objectives.
My cloud journey began three years ago, sparked by a deep interest in automation and scalable systems. Since then, I have developed skills in infrastructure as code, CI/CD pipelines, and cloud-native services, continuously exploring ways to improve performance and operational efficiency.
Tackling real-world technical challenges has helped shape my problem-solving approach. Whether addressing performance issues, monitoring gaps, or infrastructure inefficiencies, I have delivered cloud-based solutions that enhance reliability, security, and cost-effectiveness, underpinned by practical, impact-driven outcomes.
I thrive in client-facing roles, collaborating cross-functionally to translate complex cloud strategies into actionable business solutions. My ability to identify pain points, craft tailored cloud architectures, and align technical delivery with strategic aims makes me a valuable asset to any cloud-led initiative.
I am now focused on expanding my reach as a Cloud Consultant, helping organisations harness the power of AWS to drive growth, security, and meaningful transformation.
Cover Letter
Skills & Expertise
🔹Cloud Technologies: AWS (EC2, S3, Lambda, VPC, EKS, ECS, Cloud shell)
🔹 DevOps & Automation: Terraform, CI/CD (AWS Code Pipeline, GitHub Actions), Docker, Kubernetes
🔹 Security & Compliance: IAM, AWS WAF, CloudTrail, Secrets Manager
🔹 Monitoring & Optimisation: CloudWatch, X-Ray, Cost Optimisation Strategies
🔹 Soft Skills: Problem-Solving, Strategic Thinking, Stakeholder Communication, Technical Consulting
AI-Powered Data Pipeline for E-commerce Demand Forecasting
This project implements an AI-powered data pipeline that helps e-commerce businesses predict product demand by leveraging AWS cloud services. The pipeline collects real-time sales and inventory data, processes it using ETL workflows, and applies machine learning models to generate accurate demand forecasts. By automating data processing, model training, and deployment, this solution enhances inventory management, reduces operational inefficiencies, and enables data-driven decision-making.
AWS CI/CD Pipeline with Security Best Practices: Modular and Reusable Architecture
This project showcases the implementation of a modular, reusable, and security-focused AWS CI/CD pipeline to automate software deployment across different environments. It leverages AWS CodePipeline, CodeBuild, and CodeDeploy to enable continuous integration and delivery (CI/CD) with strong security mechanisms such as IAM role-based access control, AWS Secrets Manager for credential management, and AWS WAF for API security. The architecture ensures scalability, efficiency, and cost optimisation while enforcing best practices in software development and deployment.
Kubernetes-based Orchestration Platform: A Scalable, Secure, and Modular Platform
This solution proposal presents a scalable, secure, and modular Kubernetes-based platform for orchestrating systems. The architecture overcomes challenges like latency, integration issues, security vulnerabilities, and lack of scalability by leveraging Kubernetes, Terraform, and event-driven messaging (Kafka/MQTT) to ensure real-time robot control, workload automation, and multi-cloud deployment.
Migrating a legacy on-premise application to AWS
This solution proposal presents the migration of an on-premises system to AWS Cloud, improving scalability, cost efficiency, security, and operational reliability. The proposed solution leverages AWS services to automate infrastructure management, optimise system performance, and ensure high availability while reducing manual maintenance and operational costs.