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I build data platforms and BI systems that turn messy data into reliable dashboards and automated analytics. I work daily in production BI environments, specializing in Apache Superset, secure multi-tenant dashboards, and backend data systems. My focus is building analytics platforms that are stable, scalable, and easy for teams to use. What I Do Best — Customize and extend Apache Superset (RLS, Jinja templating, global parameters, alerts) — Develop custom chart plugins and extend the platform with new visualization capabilities — Design and optimize complex SQL queries (PostgreSQL, MSSQL, Firebird) — Build backend logic in Python for data workflows and automation — Deploy systems using Docker and containerized environments — Set up CI/CD pipelines (GitHub Actions, GitLab CI) — Build internal dashboards and data tools for business teams Real-World Experience — Implemented global parameter systems inside BI environments — Built SQL Lab extensions to execute stored procedures and generate datasets — Worked with multi-database synchronization and metadata systems — Managed production deployments and infrastructure debugging — Automated workflows using Python and Bash If you need someone who understands both backend engineering and the data layer, I can help design and implement a clean, reliable solution from the start. I focus on clean architecture, long-term maintainability, and real business impact.

📌 About Us Led by a DevOps and SRE veteran with 20+ years of industry experience, we are a powerhouse team of 100+ top-tier DevOps, SecOps, Cloud, and Site Reliability Engineers. We specialize in designing, building, and managing infrastructures that empower innovation while guaranteeing stability, security, and cost-efficiency. With over 1,000 successful projects delivered for startups, enterprises, and global brands across fintech, e-commerce, health tech, media, and AI/ML, we take end-to-end ownership—from initial architecture design to 24x7x365 L1/L2/L3 support. Core Capabilities & Business Impact 1. Platform Engineering, DevOps & CloudOps We build multicloud architectures and scalable systems that enable daily releases through automated "golden paths" and predictable environments. Infrastructure as Code (IaC) & Automation: Terraform, Pulumi, CloudFormation, Ansible, Chef, Puppet. Containerization & Orchestration: Kubernetes, Docker, EKS, Rancher. CI/CD & GitOps: GitHub Actions, GitLab CI, Jenkins, CircleCI, Argo CD, Flux. Web & Database Tuning: LAMP and LEMP stacks setup, database tuning, and high-availability website speed optimization. 2. 24/7 Site Reliability Engineering (SRE) & IT Support We provide true 24x7x365 L1, L2, and L3 support for applications, servers, and end-users, ensuring SLA/SLO-driven operations. Reliability & Incident Management: On-call rotations, escalation trees, postmortems, root cause analysis, and error budgets. Observability: Transparent SLI/SLO dashboards using Prometheus, Grafana, OpenTelemetry, ELK, Datadog, and New Relic. IT Consultancy & Workstation Support: End-user maintenance (B2B/B2C), patching, updates, backup management, and policy enforcement via NinjaOne. Email Deliverability: DNS, DKIM, SPF, DMARC, and MX configuration. 3. FinOps & Cloud Cost Optimization We turn infrastructure into a strategic advantage by reducing cloud costs by 20–60%. Cost Control: Budgeting, forecasting, rightsizing, cost governance, and waste reduction on AWS, Azure, and GCP. FinOps Tooling: CloudHealth, AWS Cost Explorer, GCP Billing. 4. Security, Networking & Compliance We ensure robust security postures and continuous compliance readiness. Security & Identity: Entra ID, HashiCorp Vault, SOPS, RBAC audits, WAF/Shield. Policy & Compliance: Policy-as-Code (OPA/Gatekeeper), CIS Benchmarks, SOC 2, and ISO 27001 readiness. Network Hardware & Integrations: CISCO remote networks, Mikrotik remote devices, FortiGate, and QNAP configuration. Server Hardening: Deep optimization and security hardening for Linux, UNIX, and Windows Server systems. 5. MLOps & AI Infrastructure We partner with ML engineers to build reliable, reproducible production workflows. ML Pipelines: MLflow, Kubeflow, SageMaker. Infrastructure: GPU-enabled infrastructure setups, data versioning, and model tracking. Comprehensive Technology Stack - Cloud Providers: AWS (Certified Partner), Microsoft Azure (Certified Partner), GCP, OCI. - Operating Systems: Linux (20+ years expertise), UNIX, Windows Server. - Containers & Orchestration: EKS, Kubernetes, Docker, Rancher. - IaC & Configuration: Terraform, Pulumi, CloudFormation, Ansible, Chef, Puppet. - CI/CD & GitOps: Argo CD, Flux, GitHub Actions, GitLab CI, Jenkins, CircleCI. - Observability & Monitoring: Prometheus, Grafana, OpenTelemetry, ELK Stack, Datadog, New Relic. - Security & Policy: OPA, Gatekeeper, Vault, SOPS, Entra ID, WAF/Shield. - FinOps & MLOps: CloudHealth, AWS Cost Explorer, GCP Billing, MLflow, Kubeflow, SageMaker. - Networking & IT Management: FortiGate, CISCO, Mikrotik, QNAP, NinjaOne. - Web & Email: LAMP, LEMP, DNS, DKIM, SPF, DMARC, MX. Who We Work With Startups: Building scalable, secure infrastructures from day one. Enterprises: Driving modernization, automation, and DevOps transformations. Finance & SaaS: Implementing rigorous security, compliance, and FinOps practices. ML/AI Teams: Deploying robust frameworks for model scaling. Ready to transform your infrastructure, optimize costs, and secure 24/7 reliability? Let’s talk.

If your Cloud bill keeps climbing and your release velocity doesn't, that's usually an infrastructure problem, not a team problem. I’m a Senior Cloud Platform Architect and DevOps Engineer with 10+ years building and running production infrastructure across AWS, Azure, GCP, Oracle Cloud, and OpenStack, including Huawei Cloud, T Cloud Public and Red Hat OpenStack/OpenShift. A few concrete examples from my work: • Led core platform operations for T Cloud Public (formerly OTC) across multiple EU regions, improving availability, elasticity, and automation for large multi‑tenant environments • Built and operated DevOps and SRE platforms for AI products on AWS and Azure (EKS, ECS, ECR, RDS, S3, DynamoDB), including CI/CD, observability, and incident response • Delivered carrier-grade telco/NFV‑oriented Cloud solutions on OpenStack and OpenShift under strict reliability and performance requirements • Cut cross-cloud infrastructure costs by 35%, reduced deployment times from weeks to hours through end-to-end automation, and lowered production incident recovery (MTTR) by 60% With Top Rated Plus status and a 100% Job Success score, I've completed numerous projects, including Cloud Migrations, AI deployments, Integrated systems, Automation strategies, and Infrastructure optimization initiatives for enterprise clients. For Data-heavy projects, I build pipelines with Databricks and Azure Data Factory to handle ETL, orchestration, and service integration. AI and automation are becoming an increasingly important part of the work I do with clients. I help teams move beyond “AI in a notebook” by wiring the AI models and agents into real, production-grade infrastructure with proper CI/CD, testing, monitoring, and deployment flows, so AI workloads are treated like first-class production services, not just prototypes or POCs experiments. What I actually do for clients: • Design and migrate multi-cloud or hybrid infrastructure (AWS, Azure, GCP, OCI, OpenStack) • Build CI/CD pipelines and infrastructure-as-code with Terraform, Ansible, GitHub Actions, GitLab, and Jenkins • Stand up and run production Kubernetes, i.e. Helm, ArgoCD, and Istio, on cloud or bare metal • Build data pipelines with Databricks, Azure Data Factory, and Kafka for ETL and service integration • Move AI/ML workloads out of notebooks and into real production systems, with proper CI/CD, monitoring, and deployment, not a script everyone's afraid to touch I'm AWS, Azure, and Oracle Cloud certified, and I'm just as comfortable lower in the stack, KVM, QEMU, Ceph, SR-IOV, NFV, Proxmox, VMware, which matters if your setup includes private cloud or anything telco-adjacent. I work directly with founders and engineering leads. I'll tell you straight if something's a quick fix or a real project before I quote it, and I document what I build so your team isn't stuck depending on me to keep the lights on. If your infrastructure's a mess, your pipelines keep breaking, or your cloud spend doesn't make sense anymore, message me with what you're working with. I'll give you a real read on what's wrong and what it'd take to fix it.

I build and scale production-grade 𝗔𝗜, 𝗦𝗮𝗮𝗦, 𝗮𝗻𝗱 𝗳𝗶𝗻𝘁𝗲𝗰𝗵 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 that handle real users, real data, and real business constraints, not prototypes or proof-of-concepts. With 𝟭𝟯+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗳𝘂𝗹𝗹-𝘀𝘁𝗮𝗰𝗸 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲, I work across backend architecture, frontend systems, cloud infrastructure, and AI integration to deliver platforms that are built for reliability, scalability, and long-term maintainability. 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝘁𝘆𝗽𝗶𝗰𝗮𝗹𝗹𝘆 𝗵𝗶𝗿𝗲 𝗺𝗲 𝘄𝗵𝗲𝗻: • They are building a SaaS or AI product that needs to scale beyond MVP • Their backend or architecture is becoming unstable under real usage • They need secure, production-ready fintech or payment systems • They are integrating AI into real workflows (not just chat demos) • They need senior-level ownership across full product delivery 𝗪𝗵𝗮𝘁 𝗜 𝗯𝘂𝗶𝗹𝗱: • AI-powered systems that automate real business workflows • Multi-tenant SaaS platforms with billing, roles, and scalable architecture • Fintech backends with secure payments, audit trails, and reliability-first design • Marketplaces and LMS platforms designed for high user concurrency • Cloud-native systems on AWS and Azure with CI/CD and deployment pipelines 𝗛𝗼𝘄 𝗜 𝘄𝗼𝗿𝗸: I operate 𝗹𝗶𝗸𝗲 𝗮 𝗽𝗿𝗼𝗱𝘂𝗰𝘁-𝗳𝗼𝗰𝘂𝘀𝗲𝗱 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿, not just a task executor. That means: • I design systems with scalability and failure modes in mind • I flag architectural risks early, before they become expensive problems • I prioritize clean structure, maintainability, and production stability • I take ownership from architecture → build → deployment 𝗧𝗲𝗰𝗵 𝘀𝘁𝗮𝗰𝗸: React, Next.js, Node.js, Python, .NET MongoDB, PostgreSQL AWS, Azure AI integrations (LLMs, automation systems, APIs) CI/CD, system architecture, cloud deployments 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆 𝗺𝗶𝗻𝗱𝘀𝗲𝘁: You won’t need to chase updates or manage micro-details. I communicate clearly, surface risks early, and ensure systems are built to production standards, not just “working code.” If you're building a serious product and need someone who can own architecture + execution end-to-end, I’m available for short-term builds or long-term engineering support.

Hi, my name is Alik. I am a Cybersecurity and DevOps Engineer with 4 years of experience in Information Security, DevOps engineering, and Python development. I specialize in: Cloud Technologies: Proficient in Azure and Terraform for infrastructure management. Penetration Testing: Experienced in Android and web application penetration testing, ensuring robust security solutions. System Administration: Skilled in Linux and Windows administration, including automation using various scripting languages like Bash, PowerShell, and Python. Automation and Development: Expertise in streamlining workflows and enhancing productivity through custom automation scripts. When working on a project, I prioritize clear communication to understand your needs and vision thoroughly. Thank you for considering my profile. I look forward to collaborating with you to bring your project to life.

Microsoft Certified DevOps Engineer. Currently working with Azure, Kubernetes, Powershell, Python and .NET. Looking to help businesses with their Azure implementation, automation, cost optimization or troubleshooting needs.