As a skilled DevOps engineer with a strong focus on Kubernetes and cloud-native technologies, I excel in managing and deploying scalable applications. My expertise includes: - Kubernetes Management: Proficient in tasks like node management, pod eviction, and service continuity, specifically with Amazon EKS. - Helm Chart Development: Experienced in creating and organizing Helm charts for application deployments, ensuring clean and maintainable code. - CI/CD Implementation: Skilled in implementing CI/CD practices, utilizing tools like ArgoCD for efficient deployment workflows. - Infrastructure as Code: Familiar with managing infrastructure services and utilizing tools such as Cert-Manager and Istio for enhanced security and routing. Projects & Accomplishments: - Successfully deployed and managed a PostgreSQL cluster with CloudNativePG, ensuring high availability and performance. - Developed a multi-stage Docker build for a FastAPI application with Nginx, optimizing deployment efficiency. - Created documentation for various applications, enhancing client understanding and usability. I am passionate about leveraging technology to solve complex challenges and deliver high-quality solutions. Let’s connect to discuss how I can contribute to your projects!

𝐃𝐞𝐯𝐎𝐩𝐬 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 + 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 = 𝐅𝐚𝐬𝐭𝐞𝐫 𝐫𝐞𝐥𝐞𝐚𝐬𝐞𝐬, 𝐬𝐦𝐚𝐫𝐭𝐞𝐫 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬, 𝐚𝐧𝐝 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐜𝐥𝐨𝐮𝐝 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 I’m a 𝐃𝐞𝐯𝐎𝐩𝐬 & 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 with strong expertise in multi-cloud platforms (𝐀𝐖𝐒, 𝐀𝐳𝐮𝐫𝐞, 𝐆𝐂𝐏) and a solid background in Python backend development, ETL/ELT pipelines, and data workflows. I specialize in designing cloud-native systems that are secure, automated, and optimized for performance and cost. 𝐇𝐨𝐰 𝐈 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮: - Automate CI/CD pipelines (GitHub Actions, Jenkins, Azure DevOps) - Deploy & manage infrastructure with Terraform, Ansible, Docker, Kubernetes - Build reliable ETL/ELT pipelines for data ingestion, transformation, and analytics - Develop Python backend services for APIs, microservices, and automation - Manage cloud databases (SQL & NoSQL) and data warehouses (BigQuery, Redshift, Snowflake, Azure Synapse) - Integrate workflows with dbt, Airflow, and cloud-native data services - Cloud monitoring, logging, and cost optimization (CloudWatch, Azure Monitor, GCP Logging, Grafana) 𝐒𝐤𝐢𝐥𝐥𝐬 & 𝐓𝐨𝐨𝐥𝐬: - Cloud Platforms: AWS, Azure, GCP - DevOps: CI/CD, Terraform, Ansible, Jenkins, GitHub Actions, Docker, Kubernetes - Data Engineering: ETL/ELT, dbt, Apache Airflow, Data Warehousing - Programming: Python, Bash, SQL - Databases: MySQL, PostgreSQL, DynamoDB, MongoDB, BigQuery, Redshift - Monitoring & Logging: Prometheus, Grafana, ELK, CloudWatch, Azure Monitor 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬: - Automated multi-cloud CI/CD pipelines that reduced release cycles by 60% - Built scalable ETL workflows moving terabytes of data daily across AWS & GCP - Migrated on-premise systems to Azure and AWS with zero downtime - Designed Kubernetes clusters to run both data pipelines and microservices efficiently I focus on clear communication, fast delivery, and building systems that scale with your business needs. 𝐋𝐞𝐭’𝐬 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 𝐚𝐧𝐝 𝐝𝐢𝐬𝐜𝐮𝐬𝐬 𝐡𝐨𝐰 𝐈 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐰𝐢𝐭𝐡 𝐃𝐞𝐯𝐎𝐩𝐬 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧, 𝐝𝐚𝐭𝐚 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐜𝐥𝐨𝐮𝐝-𝐧𝐚𝐭𝐢𝐯𝐞 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐭𝐨 𝐝𝐫𝐢𝐯𝐞 𝐲𝐨𝐮𝐫 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐟𝐨𝐫𝐰𝐚𝐫𝐝!

I help startups, SaaS companies, and enterprises build, automate, deploy, and scale cloud-native applications, AI systems, and modern infrastructure on AWS, Azure, and GCP. With 4+ years of hands-on experience in DevOps, Cloud Engineering, AI Automation, LLM Engineering, MLOps, Platform Engineering, and Infrastructure Automation, I have helped organizations streamline software delivery, deploy AI-powered solutions, modernize cloud environments, and build secure, highly available, and cost-efficient platforms. My expertise extends beyond traditional DevOps. I specialize in designing AI-powered infrastructures, deploying Large Language Model (LLM) applications, implementing MLOps pipelines, building Agentic AI workflows, and creating scalable cloud architectures that accelerate innovation while reducing operational overhead. I work closely with founders, startups, and enterprise teams to transform ideas into production-ready platforms using DevOps best practices, Kubernetes, Infrastructure as Code, AI Automation, and Cloud-Native technologies. ### What I Can Help You With ### DevOps Architecture & Cloud Engineering ✔ Cloud Architecture & Infrastructure Design ✔ AWS, Azure & Google Cloud Platform (GCP) ✔ Cloud Migration & Modernization ✔ High Availability & Disaster Recovery ✔ Multi-Cloud & Hybrid Cloud Solutions ✔ Infrastructure Automation ✔ Platform Engineering ✔ Infrastructure Scaling & Optimization ✔ Cloud Cost Optimization (FinOps) ✔ Cloud Governance & Security ### AI Automation & Agentic AI ✔ AI Workflow Automation ✔ AI Agents & Autonomous Systems ✔ OpenAI API Integrations ✔ Claude API Integrations ✔ Gemini API Integrations ✔ AI-Powered Business Automation ✔ Agentic AI Workflows ✔ AI Infrastructure Deployment ✔ AI Operations Automation ✔ Intelligent Process Automation ✔ Custom AI Solutions ### LLM Engineering & Generative AI ✔ Large Language Model (LLM) Applications ✔ Retrieval-Augmented Generation (RAG) ✔ Vector Databases ✔ AI Chatbots & Virtual Assistants ✔ Prompt Engineering ✔ LangChain ✔ LangGraph ✔ LlamaIndex ✔ Semantic Search Systems ✔ Knowledge Base AI Solutions ✔ Enterprise AI Applications ✔ LLM Deployment & Scaling ### MLOps & AI Infrastructure ✔ MLOps Pipelines ✔ Model Deployment & Monitoring ✔ ML Infrastructure Automation ✔ Model Versioning ✔ AI Observability ✔ GPU Infrastructure ✔ Kubernetes for AI Workloads ✔ AI Model Serving ✔ Continuous Training Pipelines ✔ AI Platform Engineering ✔ AIOps & Intelligent Monitoring ### Kubernetes & Container Platforms ✔ Kubernetes Administration ✔ Amazon EKS ✔ Azure AKS ✔ Google GKE ✔ Docker ✔ Helm ✔ ArgoCD ✔ GitOps ✔ Service Mesh ✔ Container Security ✔ Cluster Scaling & Optimization ✔ Production Kubernetes Operations ### Infrastructure as Code & Automation ✔ Terraform ✔ OpenTofu ✔ CloudFormation ✔ Ansible ✔ Packer ✔ Python Automation ✔ Bash Scripting ✔ Infrastructure as Code (IaC) ✔ Self-Service Infrastructure Platforms ✔ GitOps Automation ✔ CI/CD Infrastructure ### CI/CD & DevOps Automation ✔ GitHub Actions ✔ GitLab CI/CD ✔ Jenkins ✔ Azure DevOps ✔ AWS CodePipeline ✔ Bitbucket Pipelines ✔ Continuous Integration ✔ Continuous Deployment ✔ Blue/Green Deployments ✔ Canary Releases ✔ Zero-Downtime Deployments ✔ Release Automation ### Cloud Security & DevSecOps ✔ DevSecOps Implementation ✔ IAM & Access Management ✔ Security Automation ✔ Secrets Management ✔ Vulnerability Scanning ✔ Container Security ✔ Security Monitoring ✔ Compliance Automation ✔ SOC 2 Readiness ✔ Security Best Practices ✔ Cloud Security Audits ### AWS Expertise ✔ EC2 ✔ ECS ✔ EKS ✔ Lambda ✔ API Gateway ✔ VPC ✔ Route 53 ✔ CloudFront ✔ ALB / NLB ✔ S3 ✔ RDS ✔ DynamoDB ✔ Aurora ✔ ElastiCache ✔ CloudWatch ✔ CloudTrail ✔ GuardDuty ✔ Security Hub ✔ Secrets Manager ✔ Systems Manager ### Monitoring, Observability & Reliability ✔ Prometheus ✔ Grafana ✔ ELK Stack ✔ OpenSearch ✔ OpenTelemetry ✔ Datadog ✔ New Relic ✔ Distributed Tracing ✔ Incident Management ✔ Site Reliability Engineering (SRE) ✔ Performance Monitoring ✔ Capacity Planning AI Automation, AI Agents, RAG Pipelines, Workflow Automation, AI & Automation Strategy, Turning Manual Workflows into Digital Workers, Claude Implementation, ChatGPT Implementation, OpenAI, Anthropic, Make, Zapier, n8n, Airtable, Notion Builds, Python, JavaScript, Custom Glue Code, API Integration, Process Design for Agencies, Lead Qualification & Routing, AI Solution Scoping & ROI Mapping, AWS SageMaker, LlamaIndex, Hugging Face, Generative AI, Computer Vision, NLP, MLOps, AWS Certified, Snowflake Certified, Enterprise Software, Fortune 500, Production Systems, Process Automation

Building RESTful APIs using Java, Node.js, Firebase, and Supabase - Designing cloud architectures (AWS, GCP, Terraform, Terragrunt, CloudFormation) with a focus on cost optimization and security - Developing CI/CD pipelines (GitHub Actions, Bitbucket Pipelines, Devtron, ArgoCD) from basic to multi-stage workflows - Managing and deploying applications on Kubernetes (EKS, GKE, DOKS) with tools like Helm, ArgoCD, and Devtron. - Implementing monitoring and observability with Grafana, Prometheus, Loki, ELK Stack, Datadog, and Cloud-native monitoring tools - Working with event-driven systems using Apache Kafka - Building and managing private and public resources in the cloud (AWS, GCP) - Ensuring cloud security, compliance, and best practices across infrastructure and applications

✅ Cut AWS costs by 40% while improving uptime for a fintech platform serving millions. 🚀 Top Rated AWS Cloud & DevOps Engineer (5x AWS, GCP Professional Certified) specializing in scalable infrastructure, CI/CD automation, and cloud cost optimization. ⭐⭐⭐⭐⭐ Bello containerize OpenEMS which is a very complex open source project and automated the deployment of those containers on AWS. He was responsible for GitHub actions, Infrastructure as Code automation using terraform and the AWS target deployment architecture based on ECS. He provided insightful architecture recommendations, followed least privilege security policy, documented all code clearly and was able to complete tasks with minimal supervision. A joy to work with and a good team player. I would hire him for a project as a DevOps Engineer anytime. ----- Arila Barnes, Energy IoT ⚡ Hi, I'm Bello Afeez, a Top Rated Cloud & DevOps Engineer with over 4 years of hands-on experience delivering secure, scalable, and cost-efficient infrastructure on AWS. 🔒 Over the last 4 years, I’ve: Automated infrastructure across 50+ environments using Terraform and Ansible, cutting deployment time by 70%. Delivered zero-downtime Kubernetes rollouts and ECS-based architectures for complex containerized apps like Apache Kafka. Built CI/CD pipelines with GitHub Actions and Jenkins that accelerated release cycles by 40%. Reduced incident response time by 60% with SLO-based alerting in Prometheus, Grafana, and CloudWatch. Hardened AWS environments for security-critical industries (finance, energy), including IAM policies, backup plans, and least privilege designs. Cloud Migration & Optimization: Executed on-premises → AWS transitions (EC2, S3, Lambda), cutting costs by 35% while ensuring high availability. 🧠 I specialize in: AWS Cloud Architecture: EC2, VPC, S3, RDS, Lambda, IAM, CloudFront, Route 53, ECS, EKS, CloudWatch Infrastructure as Code: Terraform, CloudFormation, Ansible CI/CD Automation: GitHub Actions, Jenkins, GitLab CI Containerization & Orchestration: Docker, Kubernetes (Helm, autoscaling, node management) Monitoring & Observability: Prometheus, Grafana, Datadog, OpenTelemetry Security & Compliance: IAM policies, DevSecOps, incident response, backups, cost control 🎓 Certifications: AWS Solutions Architect – Associate • Developer – Associate • Security Specialty • Cloud Practitioner • Terraform Associate • AWS Accredited Technical Partner 🚀 If you need help automating cloud infrastructure, securing AWS workloads, or optimizing your CI/CD pipelines and want someone who’s fast, reliable, and experienced with real-world production systems, 💬 Send over a message. I’ll see if it’s a good fit.

I am an accomplished AWS Solutions Architect and Microsoft Professional with over 16 years of experience in system, network, and cloud engineering, and more than 8 years specializing in AWS cloud architecture and DevOps. I am excited to apply for this opportunity and help you design, secure, and optimize cloud solutions that directly support your business goals.| Throughout my career, I have delivered scalable, secure, and cost-efficient infrastructures using AWS services such as EC2, EKS, ECS, S3, RDS, IAM, Lambda, CloudWatch, Security Hub, GuardDuty, and Inspector. I also bring hands-on experience with Azure and GCP, and DevOps tools including Docker, Kubernetes, Terraform, and Jenkins, enabling fully automated and reliable deployments.
 I have strong experience in:
 - Cloud migrations and hybrid architectures across AWS, Azure, and on-prem environments. - Infrastructure as Code with Terraform for repeatable, version-controlled deployments. - Cloud cost optimization (FinOps) using rightsizing, auto scaling, Savings Plans, and AWS Cost Explorer to reduce spend without compromising performance. - Event-driven systems and messaging using RabbitMQ, SQS, SNS, and EventBridge. - IoT solutions built with AWS IoT Core for secure device connectivity and real-time data processing. - Serverless and AI integrations using AWS Lambda and AWS Bedrock. - Security and compliance are central to my work. I have actively contributed to SOC 2 remediation, implementing audit fixes across access controls, logging, monitoring, encryption, and change management. I also coordinate with authorized VAPT teams to conduct penetration testing and have hands-on experience remediating vulnerabilities for both products and client environments, ensuring strong security posture and audit readiness. - With a strong background in Linux administration, monitoring with CloudWatch and DataDog, and CI/CD automation, I focus on building environments that are not only technically sound but also easy to operate and scale.
 I am a proactive communicator who values clear documentation, timely updates, and close collaboration. My goal is to become a trusted partner who helps you achieve reliable infrastructure, improved security, and optimized cloud costs.
 I would welcome the opportunity to discuss your requirements and demonstrate how my experience can add value to your project. Thank you for your time and consideration.
 Warm regards, Hariprasad B AWS Solutions Architect | Cloud & DevOps Engineer

Is your team spending more time fighting infrastructure fires than shipping features? I help startups, SaaS companies, and agencies build reliable, automated cloud infrastructure on AWS and Azure - so engineers can deploy confidently, systems stay up, and operations stop being a bottleneck. With 6+ years of hands-on DevOps experience, I've worked across the full infrastructure lifecycle, from greenfield cloud setups to complex CI/CD migrations, containerization overhauls, and DevSecOps implementations. I work equally well as a solo DevOps hire for startups with no existing infrastructure, or as an embedded engineer supporting larger engineering teams. ☁️ Cloud Infrastructure (AWS & Azure) Architecting scalable, secure cloud environments — VPC, IAM, EC2, ECS, RDS, Lambda, Azure DevOps ⚙️ CI/CD Pipeline Automation End-to-end pipelines using Jenkins, GitHub Actions, Azure DevOps — cutting deploy times and eliminating manual steps 🐳 Containerization & Orchestration Docker & Kubernetes deployments built for high availability and zero-downtime releases 🔧 Infrastructure as Code Terraform & Ansible for fully automated, version-controlled environment provisioning 🔍 Monitoring & Observability Full-stack monitoring with Prometheus, Grafana, ELK Stack & New Relic — so you catch issues before your users do 🔐 DevSecOps Security baked into the pipeline — threat detection, compliance checks, and secure deployment practices I've led 20+ infrastructure projects and mentored DevOps teams of 6+, with a consistent focus on uptime, delivery speed, and operational efficiency. If you're looking for someone who treats your infrastructure like their own - let's talk. Drop me a message with your current setup and what's slowing you down, and I'll tell you exactly how I'd approach it.

Hands-on knowledge of building/deploying infrastructure and operating high availability SaaS applications in multiple cloud platforms with a passion for cutting-edge web and DevOps technologies. DevOps & CI/CD: ✔CI/CD Pipeline Development Design, develop, and maintain CI/CD pipelines for applications and infrastructure. Integrate version control systems (e.g., Git) with build and deployment tools. Automate testing, build, and deployment workflows. ✔Infrastructure as Code (IaC) Use tools like Terraform, CloudFormation, or Ansible to provision and manage infrastructure. Automate environment creation for development, testing, and production. ✔Monitoring and Logging Implement monitoring tools (e.g., Prometheus, Grafana, Datadog) for application and pipeline performance. Integrate logging tools (e.g., ELK Stack, Splunk) to analyze and troubleshoot issues. ✔Version Control Management Manage source code repositories using Git. Enforce branching strategies (e.g., GitFlow) and code review workflows. ✔Containerization and Orchestration Containerize applications using Docker. Manage container orchestration with Kubernetes or ECS. ✔Deployment Automation Deploy applications to cloud platforms (AWS, Azure, GCP). Implement blue-green, canary, or rolling deployments for zero-downtime updates. ✔Collaboration and Security Collaborate with development, QA, and operations teams. Integrate security tools like, and CodeQL for security checks during CI/CD.

This year I cut my company's AWS bill by 71% and moved them off manual deploys onto GitOps. That's the kind of work I do. I'm a DevOps engineer with 4 years of experience. Most of what I handle comes down to three things: getting deployments out the door faster, cutting cloud bills that got out of hand, and keeping production from falling over. A few concrete examples from the last two years: - Current company was deploying everything by hand. I moved them to ArgoCD + Helm on Kubernetes. Releases went from a half-day of stress to a few minutes. - Same company, different problem: the AWS bill was bleeding money on oversized instances and resources nobody was using anymore. Went through it line by line. Bill dropped ~71% roughly $5K a year. - Before that I spent ~18 months at an agency running infra for six enterprise clients. Built reusable Terraform modules so we weren't rewriting the same VPC five times. Set up Gitlab CICD pipelines with Checkov, SonarQube, and Trivy so security wasn't a separate afterthought. The stack I reach for most: AWS (ECS, EKS, RDS, Lambda, IAM, S3, ALB, CloudFront, VPC, EC2, WAF), Terraform, Kubernetes + Helm, ArgoCD, GitHub Actions, Prometheus and Grafana. I've also shipped on GCP. Why work with me? - Certified in Kubernetes (CKA) - AWS Solutions Architect Associate, - Google Associate Cloud Engineer - OCI Architect Associate. How I work: I'll tell you straight if something you're asking for is a bad idea, and why. I document as I go so you're not stuck depending on me forever. I reply quickly usually within a few hours and I don't disappear mid-project. If any of this sounds like what you need, send me a message with a bit about your setup and what's broken (or what you're trying to build). Happy to hop on a quick call before you commit to anything.

🎁 A 100% refund if I set the wrong expectation and can’t deliver. No questions asked! Hi! I’m Hamza Khan , a Cloud & DevOps Engineer with 4+ years of proven experience building secure, scalable, and automated infrastructures on AWS and Azure. 𝗪𝗵𝗮𝘁 𝗜 𝗖𝗮𝗻 𝗗𝗼 𝗙𝗼𝗿 𝗬𝗼𝘂 ◘ AWS & Azure Cloud Architecture: Design and implement scalable, high-availability infrastructures using EC2, RDS, S3, Lambda, AKS, App Services, and Functions. ◘ CI/CD Pipeline Automation: Streamline deployments with GitHub Actions, AWS CodePipeline, Jenkins, GitLab, and Azure DevOps for faster releases and zero downtime. ◘ Infrastructure as Code (IaC): Manage cloud environments with Terraform, CloudFormation, and ARM Templates for consistent and automated provisioning. ◘ Containerization & Orchestration: Deploy microservices using Docker, Kubernetes (EKS/AKS), and Helm for resilient, scalable systems. ◘ Monitoring & Observability: Implement Prometheus, Grafana, Datadog, CloudWatch, and Azure Monitor for real-time insights and performance tracking. ◘ Cloud Security & Compliance: Apply IAM policies, encryption, SSL, and role-based access control for enterprise-grade security. ◘ Cost Optimization: Reduce cloud bills through resource right-sizing, autoscaling, and AWS/Azure cost management tools. ◘ AI/ML Integrations Use AWS Bedrock and Azure AI services to add intelligence and automation to your cloud workflows. 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 𝗜 𝗠𝗮𝘀𝘁𝗲𝗿 Cloud Platforms: AWS (EC2, S3, RDS, Lambda, ECS, EKS, CloudWatch, Bedrock) Azure (AKS, Azure DevOps, App Services, Functions, Blob Storage, Monitor) DevOps & Automation: Terraform, Ansible, Jenkins, GitHub Actions, GitLab CI/CD, Azure Pipelines, AWS CodeBuild/CodeDeploy Containers & Deployment: Docker, Kubernetes (EKS, AKS), Helm, Fargate Programming & Scripting: Python, Bash, PowerShell, TypeScript, YAML Monitoring & Logging: Prometheus, Grafana, Datadog, CloudWatch, Azure Monitor, ELK Stack Cost Optimization: AWS Trusted Advisor, Azure Cost Management, Resource Tagging, Autoscaling Let’s collaborate to make your cloud environment faster, safer, and smarter. 💬 Message me today to discuss your next project! AWS DevOps Engineer, Azure DevOps Engineer, Cloud Solutions Architect, Terraform Expert, CI/CD Automation Specialist, Kubernetes & Docker Engineer, Cloud Infrastructure Automation, AWS Cloud Engineer, Azure Cloud Architect, Infrastructure as Code (IaC), Cost Optimization Specialist P.S.: I am willing to sign an NDA to ensure your data privacy and protection.