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I am a Python backend developer with 6 years of development experience, focused on asynchronous Telegram bots, API integrations, business automation, and internal tools. I build backend systems and Telegram bots in Python for admin workflows, paid communities, data processing, and reliable automation. My work usually includes: - Telegram bots from scratch - Admin panels and moderation workflows - API integrations and webhooks - Data parsing and automated notifications - Full database setup and management - VPS server configuration and deployment I mainly work with Python, aiogram, Pyrogram, aiohttp, PostgreSQL, Docker, Nginx, Linux, REST APIs, and webhooks. I focus on clean backend logic, reliable state handling, and simple maintainable solutions without adding extra technologies just to make the project look more complex.

"Cut our monthly AWS costs by 61%, from $2,280 down to $817, with zero disruption to production workloads.", — CTO, Fintech Startup 🏆 AWS DevOps Engineer, Senior DevOps, AWS Architect, Cloud Engineer with 6+ years in AWS, Azure, Kubernetes and cloud infrastructure enhancement ✅ ABOUT ME As an Certificate AWS DevOps Engineer, Senior DevOps, AWS Architect and Cloud Engineer, I bring 6+ years of hands-on experience across AWS, azure and kubernetes environments, moving fluidly between aws devops and azure devops work depending on what the client's stack demands. 39% lower AWS spend, from $2,000 to $800/month, delivered while working as an AWS DevOps Engineer, Senior DevOps, AWS Architect and Cloud Engineer for a Fintech SaaS client, where aws devops and devops practices ran side by side across a hybrid AWS and azure stack, backed by tight security & compliance controls and FinOps discipline from day one. 99.9% uptime and 60% faster releases came from building CI/CD and ci/cd pipelines with github actions, plus ci/cd azure workflows, in my role as an AWS DevOps Engineer, Senior DevOps, AWS Architect and Cloud Engineer for teams standardizing on Azure DevOps. 25+ kubernetes clusters managed with Docker and docker devops workflows cutting deployment time by 45%, work I take on as an AWS DevOps Engineer, Senior DevOps, AWS Architect and Cloud Engineer across both aws and azure devops environments. 12+ production environments hardened for security & compliance, with IAM policies and FinOps cost controls reducing audit findings by 30% on every AWS DevOps Engineer, Senior DevOps, AWS Architect and Cloud Engineer engagement I run. 18,000+ daily requests routed through ECS/Fargate, with Terraform/CDK and other IaC tools cutting environment provisioning from days to minutes, a core part of how I work as an AWS DevOps Engineer, Senior DevOps, AWS Architect and Cloud Engineer. 6+ mlops pipelines deployed alongside data engineer teams and a senior full stack developer, cutting model deployment time by 40% using python automation as an AWS DevOps Engineer, Senior DevOps, AWS Architect and Cloud Engineer. ✅ WHERE I DELIVER On AWS - 20+ cloud infrastructure builds spanning ECS/Fargate, kubernetes and multi-region AWS deployments for SaaS and Fintech platforms, all run with aws devops rigor as an AWS DevOps Engineer, Senior DevOps, AWS Architect and Cloud Engineer. On Azure - 15+ azure devops pipelines, ci/cd azure workflows and azure cloud engineer projects cutting release cycles by 35%, with github actions and CI/CD tying it all together in my work as an AWS DevOps Engineer, Senior DevOps, AWS Architect and Cloud Engineer. Across security & compliance - 25+ IAM design and framework projects for regulated industries, backed by devops best practices across aws and DevOps tooling as an AWS DevOps Engineer, Senior DevOps, AWS Architect and Cloud Engineer. Across Docker and kubernetes - container orchestration and ci/cd pipelines lifting deployment frequency by 3x, whether the client calls it devops, aws devops or azure devops. With python - 12+ automation scripts and mlops integrations, 28% lower operational overhead, often working alongside a full stack developer or senior full stack developer on shared codebases. On infrastructure due diligence - project manager coordination on erpnext frappe deployments before funding rounds as an acquisition manager, where devops and aws hygiene matter as much as the numbers. ✅ INDUSTRY IMPACT Fintech, Payments - 39% AWS cost reduction ($2,000 to $800/month), 99.9% uptime and AWS End User Messaging integration cutting notification latency by 50%, delivered as an AWS DevOps Engineer, Senior DevOps, AWS Architect and Cloud Engineer running aws devops and devops practices daily. SaaS, B2B Platforms - multi-region AWS deployments and IaC tools like Terraform/CDK reducing infrastructure drift incidents by 60%, with aws and azure devops kept in sync throughout. AI, MLOps - 6+ mlops pipelines processing 10,000+ daily inference requests with automated CI/CD and ci/cd pipelines, working alongside a data engineer with python scripting the glue between them. Enterprise Cloud Migration - github actions-driven ci/cd azure pipelines migrating legacy workloads with zero downtime, devops throughout, as an AWS DevOps Engineer, Senior DevOps, AWS Architect and Cloud Engineer. Startups and Scaleups - cloud infrastructure enhancement and erpnext frappe deployments cleaned up before funding rounds as an acquisition manager and project manager, aws and devops working hand in hand. ✅ HOW I BUILD On AWS: aws, aws devops, ECS/Fargate, kubernetes, Docker, docker devops, Terraform/CDK, IAM, FinOps, the core stack behind every AWS DevOps Engineer, Senior DevOps, AWS Architect and Cloud Engineer engagement. On Azure: azure, azure devops, ci/cd azure, github actions, cloud infrastructure enhancement, devops throughout.

Ready to design and manage robust AWS Cloud Infrastructure. I conduct Well-Architected Framework Reviews (WAFR) in AWS, design architectural diagrams of varying complexities, and document existing infrastructures. I can help optimize your AWS projects for: - Security enhancements and issue mitigation; - Cost optimization audits; - High availability, performance, and scalability; - Resource optimization; - Automation through Python and Bash scripting. My technical expertise extends beyond AWS, encompassing proficiency in Python scripting, Terraform, Docker containerization and orchestration, Linux-based OS, Git, Ansible, deployment of CI/CD tools, and monitoring. I'm excited to collaborate on projects related to AWS and cloud infrastructure! Please feel free to reach out.

Certified AWS Solutions Architect and AWS DevOps Engineer with 17 years of experience in software delivery and cloud infrastructure. With 850+ hours on Upwork and 30+ successful cloud projects, I operate as both a hands-on AWS DevOps engineer and a strategic AWS architect who designs and implements reliable, scalable platforms on Amazon Web Services. What I do as an AWS DevOps engineer and AWS architect My journey began as a full stack developer working with Ruby on Rails, Python, Node.js, and Java. Over time it evolved into deep specialization in AWS DevOps automation, container platforms, and cloud architecture. Today, as a certified AWS architect and AWS DevOps professional, I bridge the gap between development and infrastructure - delivering platforms that are automated, observable, and built to scale. The perspective of an AWS architect who also executes as an AWS DevOps engineer is rare - and it is what clients come to me for. As an AWS architect, I design secure, highly available systems on Amazon Web Services using EC2, S3, Lambda, CloudFront, and Amazon ECS. My AWS DevOps approach ensures that every AWS architect decision is backed by automation, CI/CD pipelines, and operational excellence across Kubernetes clusters. The role of an AWS architect is not just to draw diagrams - it is to own the outcome from design through deployment. Every AWS architect engagement I take on starts with understanding the business constraints before touching a single resource. A senior AWS architect has to think in failure modes — not just happy paths. That mindset is what makes an AWS architect valuable beyond the initial design phase. AWS DevOps methodology and automation Automation is at the core of every AWS DevOps engagement I take on. I implement infrastructure as code using Terraform and AWS CloudFormation, and build CI/CD pipelines with Git, Jenkins, and Azure DevOps. As an AWS DevOps engineer, I apply DevSecOps principles including secrets management, IAM least-privilege policies, VPC network segmentation, and audit logging - supporting compliance requirements such as SOC 2, HIPAA, and PCI DSS. I integrate monitoring with Prometheus and Grafana, and design fault-tolerant Kubernetes workloads. Every AWS DevOps pipeline I build is designed for repeatability, auditability, and zero-downtime deployments. Security, reliability, and scalability are embedded in every AWS DevOps project. Whether I am working as an AWS architect designing multi-account AWS organizations or as an AWS DevOps engineer optimizing container workloads, the standard remains the same: systems must be maintainable, observable, and resilient. That is the AWS DevOps discipline I bring to every engagement and the reason clients come back. My technical stack as an AWS architect and AWS DevOps engineer As a certified AWS architect, my core stack includes Amazon Web Services, Kubernetes, Docker, Terraform, AWS CloudFormation, CI/CD, Git, and Jenkins. My AWS DevOps toolchain extends to Azure DevOps, Prometheus, Grafana, and Python scripting. With a background as a full stack developer, I bring application-layer awareness into every AWS architect decision - understanding how services behave under load, not just how they are provisioned. That is the difference between an AWS architect who designs in theory and a battle-tested AWS architect who has run systems in production. What separates my AWS DevOps practice from a standard infrastructure role is the combination of depth and range. I work as an AWS architect who can design the system and as an AWS DevOps engineer who can implement it. That dual capability - AWS architect on one side, AWS DevOps engineer on the other - means fewer handoff gaps, faster delivery, and better outcomes for every project. Finding the right AWS architect for a complex platform matters as much as finding the right engineer to run it. Why clients hire me as an AWS architect and AWS DevOps engineer Clients partner with me when they need an AWS architect who can translate business requirements into cloud infrastructure, or an AWS DevOps engineer who can automate and operationalize that infrastructure end to end. My 17 years of experience as an AWS DevOps practitioner, AWS architect, and hands-on AWS architect means I have seen what breaks platforms at scale - and how to prevent it. Whether you need AWS DevOps automation, Kubernetes infrastructure, Terraform-based IaC, or a senior AWS architect to design your next cloud platform, I would be glad to help build and scale it the right way. Let's connect.

2+ years of working experience in IT at positions of Ruby on Rails Developer. Used wide range of technologies of software development, deployment. Main stack based on the Ruby language and related technologist for backend. Also experienced with JS and modern frontend development. Back-end stack: Ruby, Ruby on Rails, RSpec, Capybara, RuboCop, Redis, PostgreSQL, MySQL. Front-end stack: JavaScript, React, JSX, Ajax, HTML, Haml, ERB, Slim, CSS, SCSS, Bootstrap, JQuery. Deploy: Heroku, AWS. Additional skills: GIT (GitHub, GitLab, Bitbucket), TDD, BDD. Multilingual: English, Russian, Ukrainian. Master’s degree in Applied Mathematics from Khmelnytskyi National University. Motivated and customer-oriented Ruby / Ruby on Rails developer. I am results-driven, deadline-oriented, organized, and energetic programmer with experience in back-end programming. I can work under tight deadlines and deliver expected results while integrating easily into teams with people from all over the world. Convert business needs into software solutions. Communicate effectively with both technical and non-technical clients, mentoring while being self-motivated.

Enterprise teams hire me when the backend needs to be built right from the start - NestJS, TypeScript throughout, AI pipeline integration, and full-stack delivery from day one. What I have built: - Delivery Management Platform (0.5 yrs, team of 3): Full-stack logistics system handling real-time driver routing via Mapbox, order distribution, overload redistribution, and delivery plan confirmation flows. Stack: NestJS, Next.js, React, PostgreSQL, Supabase, AWS Lambda, TypeORM, Docker. - Digital Factory Software Suite (2 yrs, team of 3-5): Modular AI-powered platform for monitoring industrial system states and generating recommendations via configurable AI agents. Built document parsing pipelines for AI-driven content processing across multiple file formats. Stack: NestJS, Node.js, Angular, Weaviate, LangChain, LangFuse, Unstructured, TypeORM. - Model Training Service (1.5 yrs, team of 6-8): AI-based optical quality control and defect detection system installed on manufacturing assembly lines. End-to-end feature delivery, backend optimization, API integrations. Stack: NestJS, Angular, React, Next.js, TypeScript, MySQL, Redis, Azure, Docker. - Vendor and Homeowner Marketplace (1.5 yrs, team of 2-3): Full platform connecting service providers with homeowners — system architecture design, backend services, internal and third-party API integrations. Stack: NestJS, Angular, React, Next.js, PostgreSQL, Prisma, Redis, AWS, Auth0, Docker. How I work: Architecture documentation before code. Every feature has unit tests before it ships. I write consistent TypeScript throughout the codebase and enforce coding standards through code reviews, not just in my own work. I own deployment and environment configuration end-to-end — I don't hand off to someone else to ship. I operate with the full backing of Meduzzen's senior engineering team. Every commit I ship is reviewed by our internal technical leads before it reaches your codebase. If I am unavailable, your sprints do not stop. Core stack: NestJS, Node.js, TypeScript, Express, Angular, React, Next.js, PostgreSQL, MySQL, MongoDB, Redis, Weaviate, AWS, Azure, Docker, Nginx, LangChain, LangFuse, TypeORM, Prisma, Auth0, GitHub Actions, GitLab CI/CD. If you need a NestJS or Node.js engineer who owns backend architecture, integrates AI pipelines, and ships clean TypeScript without hand-holding — send me a brief. I reply within 4 hours.