Greetings! I'm an Expert DevOps & SRE Engineer with over 6 years of hands-on experience designing, automating, and managing scalable infrastructure and CI/CD pipelines across cloud and on-premise environments. I’ve worked with companies ranging from early-stage startups to enterprise-level clients, bringing deep expertise in infrastructure-as-code, container orchestration, monitoring, and high-availability systems. I've led DevOps teams, established full SDLC automation from scratch, mentored over 30 DevOps trainees through my own course, and consistently delivered cost-efficient, developer-friendly, and production-grade systems. My main focus when developing solution is making it the best fit for your unique business needs and deliver the high quality infrastructure and automation. Whether it’s deploying Kubernetes clusters, optimizing cloud spending, enabling faster delivery pipelines, or bootstrapping infrastructure in hours, I’m ready to help your team move faster and safer. Key Highlights: ✅ AWS Solutions Architect – Associate certified (valid through 2025) 🚀 Deployed and maintained multi-tenant distributed systems 💰 Reduced AWS costs by 17.6% through strategic infrastructure optimization 🧠 Led and scaled DevOps teams, hiring and mentoring engineers for projects of all scale 📈 Built and rolled out monitoring systems reducing incident resolution times by 58.3% Skills & Technologies ☁ Cloud: AWS, GCP, Azure, Alibaba Cloud, IBM Cloud, DigitalOcean, On-Prem 🛠 IaC: Terraform, Ansible, AWS CDK, CloudFormation, OpenTofu 🚀 CI/CD: GitHub Actions, GitLab CI, Jenkins, Bitbucket Pipelines, DroneCI, ArgoCD, FluxCD 📦 Containers & Orchestration: Kubernetes, Docker, Helm, Kustomize, Podman, CRI-O, Nomad, LXC 📊 Monitoring & Logging: Prometheus, Grafana, ELK, DataDog, Zabbix 🗄 Databases: PostgreSQL, MySQL, MariaDB, ClickHouse, MongoDB, ElasticSearch 💻 Programming: Golang, Python, JavaScript, TypeScript, Bash/Shell 🧱 Others: Nginx, Redis, RabbitMQ, EVM-based chains, Bitcoind, Geth, Prysm

AWSS | K8s | Terraform | Golang | Python 🏆 Expert-Vetted DevOps and Cloud engineer, 💯% Job Success Score Over the past decade, Helped 31 companies build and manage cloud operations and engineering using high-edge technologies and production-oriented secure and best practices. Certificates -- AWS Solution Architect Professional -- AWS Solution Architect Associate -- AWS Security Speciality I am a professional & passionate DevOps engineer with vast experience in both systems and automation administration. For the past 9+ years, I have gained immense experience implementing solutions ranging from systems-level optimization to automated end-to-end deployments for major players in the software development industry. DevOps puts businesses on the cutting edge of innovation. My work designing infrastructure for large software development agencies has kept me up to date with the latest industry technologies and standards, and my passion for DevOps has enabled me to provide robust and meaningful implementations for my clients 💡 Why Choose Me? + Cloud Guru :: 9Y AWS , 5Y Azure , 4Y GCP + CI/CD , config management + Service Mesh using Istio , Tracing using Jeager + IaC :Terraform, CloudFormation + Python , Golang and bash shell scripting + Observability : Prometheus, Grafana ,Datadog , SIEM , Wazuh , Thanos

I help organizations transform fragmented, siloed data into scalable, high-performance cloud data platforms that support clear reporting and better decision making. My focus is on building systems that are structured, scalable, and designed to support long-term growth. With 6+ years of experience across AWS, Google Cloud, and Azure, I design and implement end-to-end data solutions, from ingestion and transformation to warehouse modeling, analytics, and AI-driven insights. I do not just build pipelines. I architect resilient, scalable systems designed for growth, performance, and long-term business impact. 𝐖𝐡𝐚𝐭 𝐈 𝐝𝐨: ✅Design and deploy AWS serverless solutions using Lambda, API Gateway, DynamoDB, S3, and VPCs ✅Build robust ETL pipelines with AWS Glue, Redshift, Kinesis Firehose, and Snowflake ✅Unified analytics platforms (Shopify, Salesforce, HubSpot, Notion, IoT, Marketing APIs) ✅AI-driven data systems including RAG architectures, natural language to SQL solutions, LangChain and OpenAI integrations, vector databases such as FAISS, Chroma, and Qdrant, and AI-powered analytics applications. ✅Develop CI/CD pipelines with CodePipeline, CodeBuild, Jenkins, automating deployment and testing ✅Implement real-time streaming solutions using Apache Kafka and Google Pub/Sub ✅Optimize database performance with MySQL, MongoDB, RDS, and ElasticCache ✅Ensure cloud security and monitoring with IAM, CloudWatch, Trusted Advisor, and Elasticsearch 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐒𝐤𝐢𝐥𝐥𝐬: 🔹Languages & Scripting: Python, Node.js, JavaScript, Bash/Shell 🔹Cloud: AWS, GCP, Azure 🔹DevOps & Automation: CodeBuild, CodePipeline, Jenkins, CI/CD 🔹AI: LangChain, OpenAI API, Vector Databases 🔹Streaming: Kafka, Kinesis, Pub Sub 🔹Data Warehousing & Analytics: Snowflake, Redshift, BigQuery, Synapse 🔹Operating Systems: RHEL, Ubuntu Linux 🔹Orchestration: Airflow, dbt 🔹Infrastructure as Code: Terraform Whether you need data pipelines, BI dashboards, serverless apps, or ETL optimization, I deliver clean, maintainable, and high-performing solutions tailored to your business goals. 👉 Ready to make your data work harder for your business? 𝐋𝐞𝐭’𝐬 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 and build something smart together.

I help businesses build scalable data platforms, AI-driven systems, and high-performance analytics using Databricks, PySpark, and Power BI. If your pipelines are slow, dashboards are lagging, or cloud costs are rising, I can optimize and redesign your system for speed, scalability, and cost efficiency. What I Can Help You With: 1. Build end-to-end data pipelines across Azure, AWS, and GCP using Databricks, PySpark, and modern Lakehouse architecture 2. Develop AI-enabled data systems including anomaly detection, predictive pipelines, and intelligent automation 3. Design and optimize Power BI and Tableau dashboards with fast, scalable data models 4. Implement real-time and batch processing pipelines using Spark and streaming frameworks 5. Reduce cloud costs through FinOps strategies, performance tuning, and architecture optimization 6. Integrate APIs, databases, and event streams into unified analytics platforms 7. Fix slow pipelines, broken workflows, and performance bottlenecks Why Clients Work With Me 1. Architect-level expertise with strong hands-on implementation 2. Experience building multi-tenant, large-scale data platforms (TB–PB scale) 3. Focus on performance, cost optimization, and real business outcomes 4. Clear communication and reliable delivery Certifications & Expertise 1. Azure Solutions Architect Expert 2. Databricks Certified Data Engineer Professional 3. Microsoft Certified: Azure Data Engineer Associate 4. Microsoft Certified: Power BI Data Analyst 5. Azure AI Engineer (AI-102) If you are looking for someone who can combine data engineering, AI, and analytics to build scalable and intelligent data systems, I would be happy to help.

🥇 𝗧𝗼𝗽 𝟭% 𝗧𝗮𝗹𝗲𝗻𝘁 𝗼𝗻 𝗨𝗽𝘄𝗼𝗿𝗸 🏆 𝗦𝗲𝗻𝗶𝗼𝗿 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 | 𝟭𝟬+ 𝗬𝗲𝗮𝗿𝘀 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 🔥 𝟳𝟬𝟬𝟬+ 𝗛𝗼𝘂𝗿𝘀 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝗲𝗱 🎯 𝗞𝗻𝗼𝘄𝗻 𝗳𝗼𝗿 𝗾𝘂𝗮𝗹𝗶𝘁𝘆, 𝘀𝗽𝗲𝗲𝗱, 𝗮𝗻𝗱 𝗹𝗼𝗻𝗴-𝘁𝗲𝗿𝗺 𝗽𝗮𝗿𝘁𝗻𝗲𝗿𝘀𝗵𝗶𝗽𝘀 I’m a 𝗦𝗲𝗻𝗶𝗼𝗿 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 specializing in 𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁, 𝗥𝘂𝗯𝘆 𝗼𝗻 𝗥𝗮𝗶𝗹𝘀, 𝗮𝗻𝗱 𝗦𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗦𝗮𝗮𝗦 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲, with over 𝟭𝟬 𝘆𝗲𝗮𝗿𝘀 of hands-on experience building production-grade applications. From 𝗥𝗲𝗮𝗰𝘁 & 𝗡𝗲𝘅𝘁.𝗷𝘀 𝗳𝗿𝗼𝗻𝘁𝗲𝗻𝗱𝘀 to 𝗡𝗼𝗱𝗲.𝗷𝘀, 𝗡𝗲𝘀𝘁𝗝𝗦, 𝗮𝗻𝗱 𝗥𝘂𝗯𝘆 𝗼𝗻 𝗥𝗮𝗶𝗹𝘀 𝗯𝗮𝗰𝗸𝗲𝗻𝗱𝘀, I design systems that are secure, maintainable, and built for scale. My focus is always on business outcomes, not just shipping code. I’ve partnered with startups, SaaS companies, and enterprise teams globally, helping them launch MVPs, scale platforms, and modernize existing systems. ⚡ 𝗖𝗢𝗥𝗘 𝗧𝗘𝗖𝗛𝗡𝗜𝗖𝗔𝗟 𝗘𝗫𝗣𝗘𝗥𝗧𝗜𝗦𝗘 🔹 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀 Ruby, JavaScript, TypeScript, Python 🔹 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 Ruby on Rails, Node.js, Express.js, NestJS, Django, Flask 🔹 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 React, Next.js, Vue.js, StimulusJS, Tailwind CSS, Bootstrap, Material UI, HTML5, CSS3 🔹 𝗔𝗣𝗜𝘀 & 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀 REST, GraphQL, Fast JSON API, Grape API, Stripe, Zoom, Slack, Google APIs, OpenAI ChatGPT 🤖 𝗔𝗜, 𝗔𝗨𝗧𝗢𝗠𝗔𝗧𝗜𝗢𝗡 & 𝗖𝗛𝗔𝗧𝗕𝗢𝗧𝗦 I integrate AI-powered workflows and chatbots that improve efficiency and customer experience. 🔥 OpenAI and ChatGPT integrations 🔥 Automation pipelines and intelligent workflows 🔥 AI-driven assistants for internal tools and SaaS platforms ☁️ 𝗖𝗟𝗢𝗨𝗗 & 𝗗𝗘𝗩𝗢𝗣𝗦 AWS EC2, S3, Lambda, Bedrock, Route 53, CloudFront, IAM, CDK, Azure, GCP, Docker, Kubernetes, Terraform, CI/CD with GitHub Actions, Jenkins, CircleCI, Serverless architectures, DevSecOps, monitoring, and scaling. 🗄 𝗗𝗔𝗧𝗔𝗕𝗔𝗦𝗘𝗦 PostgreSQL, MySQL, MongoDB Redis, Firebase, Elasticsearch, DynamoDB 💳 𝗣𝗔𝗬𝗠𝗘𝗡𝗧 𝗜𝗡𝗧𝗘𝗚𝗥𝗔𝗧𝗜𝗢𝗡𝗦 Stripe, PayPal, Braintree, Authorize 🧰𝗣𝗢𝗣𝗨𝗟𝗔𝗥 𝗚𝗘𝗠𝗦 & 𝗧𝗢𝗢𝗟𝗦 Devise, OmniAuth, CanCan, Will_paginate, Paperclip, Simple_form, Pry, Haml/Slim. ElasticSearch, Thinking Sphinx, Sunspot, Finance. Delayed_job, Sidekiq, Rescue, EventMachine, Capistrano, Chef. RSpec, FactoryGirl, Shoulda, Capybara, Selenium. 🔥 𝗪𝗛𝗬 𝗖𝗟𝗜𝗘𝗡𝗧𝗦 𝗪𝗢𝗥𝗞 𝗪𝗜𝗧𝗛 𝗠𝗘 ✔️ 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀-𝗙𝗶𝗿𝘀𝘁 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵 – I align engineering decisions with your product and revenue goals ✔️ 𝗣𝗿𝗼𝘃𝗲𝗻 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆 – From MVP launches to complex enterprise platforms ✔️ 𝗖𝗹𝗲𝗮𝗻 & 𝗦𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗖𝗼𝗱𝗲 – Built with modern standards, Agile workflows, and CI/CD ✔️ 𝗟𝗼𝗻𝗴-𝗧𝗲𝗿𝗺 𝗣𝗮𝗿𝘁𝗻𝗲𝗿𝘀𝗵𝗶𝗽𝘀 – Clients return because I’m reliable, proactive, and solution-oriented ✔️ 𝗖𝗹𝗲𝗮𝗿 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻 – Transparent updates and strong ownership 🌟 𝗦𝗘𝗥𝗩𝗜𝗖𝗘𝗦 🔹 AI Integration and Automation 🔹 Full Stack Web Application Development 🔹 SaaS Platforms and MVP Development 🔹 Ruby on Rails Enterprise Applications 🔹 Custom API Integrations (Stripe, PayPal, Google) 🔹 Database Design and Optimization 🔹 UI-focused Frontend Engineering 🔹 Refactoring and Scaling Legacy Systems ✨ 𝗟𝗘𝗧’𝗦 𝗪𝗢𝗥𝗞 𝗧𝗢𝗚𝗘𝗧𝗛𝗘𝗥 Whether you’re ⚡ launching a startup MVP 🏢 improving enterprise systems 📈 scaling an existing SaaS product 💬 Send an invite and let’s build a scalable, high-impact product together. 📈 𝗞𝗘𝗬𝗪𝗢𝗥𝗗𝗦 Fractional CTO, Tech Lead, Software Architect, Full Stack Developer, JavaScript Developer, MERN Stack Developer, React Developer, Next.js Developer, Node.js Developer, Express.js, TypeScript Developer, JavaScript Developer, Python Developer, FastAPI, Django, Flask, REST API, GraphQL, WebSockets, Microservices Architecture, Event-Driven Systems, PostgreSQL, MongoDB, Redis, AWS Developer, AWS Lambda, API Gateway, S3, RDS, CloudWatch, Docker, Kubernetes, CI/CD, GitHub Actions, DevOps, AI Full-Stack Developer, LLM Integration, RAG Applications, OpenAI API, Google Gemini, OAuth2, JWT Authentication, Role-Based Access Control (RBAC), Secure APIs, Unit Testing, Integration Testing, Playwright, Cypress, SaaS Development, Payment Integration (Stripe), Real-Time Applications, Scalable Web Applications

Mid-Senior DevOps | AI Engineer I design and operate production infrastructure while building AI-powered systems that integrate directly into real business workflows. My work spans cloud architecture, Linux systems, CI/CD, Kubernetes, Supabase, Cloudflare, and scalable backend infrastructure ,alongside AI integrations using Claude, ChatGPT, MCP servers, and custom automation pipelines. Core Expertise DevOps & Cloud Infrastructure (AWS, GCP, Azure, Hetzner) Kubernetes, Docker, CI/CD pipelines Linux server administration & automation Cloudflare, reverse proxies, DNS, SSL, networking Supabase & PostgreSQL platforms AI integrations with Claude & ChatGPT MCP server development & tool-calling systems API integrations & workflow orchestration Infrastructure security, staging, backups, and production hardening Recent Projects Built a production MCP server connecting ServiceM8 with Claude AI using 14 operational tools Managed a multi-server WordPress infrastructure fleet with 21 production websites Architected a multi-tenant Supabase platform for UK property compliance workflows Deployed and secured cloud environments with automated backups, staging systems, and CI/CD pipelines Implemented AI-powered workflows integrating external APIs, databases, and operational systems I work comfortably across the full stack of modern infrastructure and AI systems — from provisioning servers and securing production environments to building intelligent integrations that automate business operations. If you need someone who can both architect reliable infrastructure and build production-ready AI systems on top of it, let’s discuss your project.

You don't just need backend code; you need an architecture that scales effortlessly without inflating your cloud bill. With over 15,000+ hours logged and a Top Rated Plus enterprise track record, I specialize in designing, migrating, and deploying bulletproof backend systems from the ground up. Unlike pure DevOps engineers who only manage servers, or standalone backend developers who don't understand cloud costs, I handle the entire lifecycle. Coming from a deep Full-Stack Engineering background, I architect modular business logic and then build the automated, self-healing Kubernetes clusters and CI/CD pipelines to support it safely. Recent Architecture & Migration Wins: • Predictive AI & IoT Healthcare (GCP): Engineered a high-velocity data pipeline using Google Pub/Sub and BigQuery to ingest millions of daily IoT sensor events. Developed a Python-based Machine Learning engine that establishes patient behavioral baselines and triggers real-time, life-saving anomaly alerts. • Enterprise IoT & Fleet Management: Led the complete architectural redesign of a legacy PHP Symphony monolith into a highly concurrent Go (Golang) microservices ecosystem on AWS, seamlessly processing GPS telemetry from 50,000+ devices every 2 seconds. • AWS Cost Optimization: Architected self-healing enterprise AWS environments using Terraform and Kubernetes, successfully reducing a client's monthly cloud spend by 80% while increasing system reliability and SOC2 readiness. • Secure Healthcare & FinTech Platforms: Designed decoupled, ACID-compliant .NET Core and Python backend architectures to securely process sensitive financial transactions and HIPAA-compliant patient records with zero latency. Core Engineering Stack: • Backend Architecture: Go (Golang), Python (FastAPI), .NET Core (C#), RESTful APIs, Microservices Design • Cloud Infrastructure: AWS (EKS, ECS, EC2, Lambda, RDS), GCP, Azure • Containerization & IaC: Kubernetes, Docker, Terraform, CloudFormation • CI/CD & Automation: GitHub Actions, GitLab CI, Jenkins, Custom Workflow Automation I partner with SaaS, FinTech, and enterprise teams to modernize legacy backends, conduct deep infrastructure audits, and automate deployments from code to production. If your current backend is struggling to scale, or you need to aggressively optimize your cloud spend with a modernized architecture, let's schedule a brief technical audit of your current setup. I am happy to share sanitized architecture diagrams of similar enterprise systems I have built.

🚀8+ years building real-world AI & LLM systems for startups and teams I help founders and teams turn AI ideas into real, working products — starting from PoCs and MVPs, and evolving them into robust, production-ready systems as the business scales. I’m an AI Engineer & Architect with 8+ years of hands-on experience, working closely with startups, founders, and product teams to solve real-world problems using modern Generative AI, LLM systems, and cloud-native architectures. Whether you’re experimenting, validating an MVP, or scaling to production, my focus is on clean architecture, future-proof design, and practical trade-offs — so early AI decisions don’t become bottlenecks later. 🤖 Generative AI & Large Language Model Systems I design and implement model-agnostic LLM architectures, so products aren’t locked into a single provider. ⚫GPT-5.2, GPT-4o, GPT-4 Mini (OpenAI / Azure OpenAI) ⚫Anthropic (Claude), Google Gemini ⚫Prompt engineering, tool/function calling, structured outputs ⚫Multi-model routing, evaluation & fallback strategies ⚫ Embedding AI deeply into product workflows (not just chat) 📚 RAG, Knowledge Bases & Knowledge Graphs I build LLM systems that reason over real data, not hallucinations. ⚫End-to-end LLM-RAG architectures (PoC → MVP → scale) ⚫Vector search + semantic search + hybrid retrieval ⚫Recursive & multi-level chunking strategies ⚫Dynamic context assembly & relevance scoring ⚫Knowledge bases & knowledge graphs (Neo4j) ⚫Hierarchical document structures & graph-based retrieval 🤖 AI Agents & Agentic Workflows I specialize in agentic systems that actually perform work, not just respond to prompts. ⚫Single & multi-agent architectures (planner, executor, critic) ⚫LangChain, LangGraph, Cloud Agent SDK, AutoGen, CrewAI ⚫Agent orchestration, agent protocols & A2A patterns ⚫Tool-using agents for operations, analytics & automation ⚫Stateful agents with memory & human-in-the-loop controls ⚫Event-driven and workflow-based agent system ⚙️ MLOps, LLMOps & Observability I treat AI like production software, not experiments. ⚫CI/CD for ML & LLM pipelines ⚫Dockerized & Kubernetes-based deployments ⚫MLflow, Vertex AI, Azure Machine Learning ⚫Model versioning, evaluation & rollback strategies ⚫LLM observability with Langfuse ⚫Metrics & monitoring using Prometheus & Grafana ⚫Cost-aware inference & performance optimization ☁️ Cloud & Infrastructure Architecture I’ve built and deployed AI systems across all major cloud platforms and modern infra stacks. ⚫AWS, Azure, GCP (Cloud Run, production pipelines) ⚫Scalable cloud-native deployments ⚫High-availability & fault-tolerant systems ⚫GPU & inference infrastructure (RunPod) ⚫Developer-friendly deployments (DigitalOcean) ⚫Data Engineering & analytics pipelines (including AWS-native data services) 🧩 Backend & Frontend Engineering I bridge AI + product engineering, so systems ship end-to-end. ⚫FastAPI / Flask backend services ⚫Secure APIs, async systems, auth & permissions ⚫TypeScript, React for frontend applications ⚫Full-stack AI product development ⚫Contract-driven APIs & system integration 🎯 How I Add Value ✔ Help founders experiment fast without painting themselves into a corner ✔ Design PoCs and MVPs that naturally evolve into production systems ✔ Translate business goals into practical AI architectures ✔ Build AI systems for real users, real traffic, real constraints I don’t just “plug in ChatGPT.” I architect AI systems that fit your product, your data, and your stage. 🤝 Let’s Talk If you’d like to brainstorm an idea, validate an approach, or plan your AI roadmap, I’m available for consultations 💬

Senior AI/ML Architect with 20+ years delivering measurable results. For the past few years, all work has been built with Claude Code, with deep hands-on experience in Claude API, MCP servers, agent design, and AI workflow automation. I also coach teams and founders on how to adopt these tools in their day-to-day work, from prompt design to building production-ready automations. Available for AI enablement, 1-on-1 coaching, team training, automation design, and strategic AI leadership roles. Accomplished scalable AI solutions as measured by founding Mission Automate and leading teams at Chatsi AI by architecting end-to-end platforms with Python, TensorFlow, PyTorch, and cloud ML services. Accomplished revenue-driving features as measured by developing systems generating millions in sales (VitalSource) and serving millions of users (Charles Schwab) by building full-stack solutions with Ruby, JavaScript, and optimized database architectures. Accomplished cross-industry impact as measured by successful deployments in fintech, e-commerce, healthcare, and education by leveraging AI/ML expertise (OpenCV, Transformers, OpenAI) with Agile methodologies and cloud platforms (AWS, GCP, Azure). Core Stack: Claude Code, Claude API, MCP, n8n, Zapier, Python, Ruby, AI/ML (TensorFlow, PyTorch), Cloud Platforms, Kubernetes, PostgreSQL/MongoDB What I'm proud of: • Live Claude Code demos at Mindstone AI Meetup, Silicon Valley (2026) • Mission Automate featured by Amazon SageMaker • Published StyleGAN2-ADA superhero generation research • Speaker at RailsConf 2021

Top 1% Upwork EXPERT-VETTED Data & Solution Architect. For over 15 years, I've worked with data, focusing the last 7 years as a Data Architect on managing high-load and big-data projects. I oversee systems that serve hundreds of millions of users and manage petabytes of data, along with overseeing infrastructure budgets of over 1.5 million USD each year. In the past 8 years on Upwork, I have completed more than 100 projects with a 100% Job Success Score and a 94%+ client return rate. SERVICES ✅ Data Engineering ✅ AI/ML ✅ AI Adoption & GenAI ✅ Predictive analytics ✅ High-load Data Scraping ✅ Data Integration - seamless connection through APIs ✅ Data Management – ETL pipelines, Data Warehousing, Data Lakes, DataOps ✅ IT Infrastructure & Solution Architecture ✅ DevOps for Performance Optimization and Cost Reduction STACK & TECHNOLOGIES Core stack: Python Data Warehousing: Redshift | BigQuery | Snowflake | Teradata Data Lakes: Hadoop | Amazon S3 | Azure Data Lake Storage | Google Cloud Storage ETL Tools and Data Pipelines: Databricks Workflows | AWS Glue | Google Cloud Dataflow Big Data Processing: Spark | Hadoop | Google Dataflow | Dask | Amazon Kinesis | Kafka Databases: MySQL | PostgreSQL | Google BigQuery | MongoDB | DynamoDB | Redis Data Analysis and Machine Learning: Pandas | NumPy | Dask | SciPy | OpenCV | TensorFlow | PyTorch | Scikit-learn | XGBoost | Keras | spaCy GenAI: OpenAI GPT-3 | GPT-4 | Lama 2 | Llava | Bard | Mistral | Anthropic Visualization Tools and Libraries: Power BI | Looker | Quicksight | Grafana | Plotly | D3.js | Dash | Matplotlib DevOps and DataOps AWS | GCP | Azure | Docker | Kubernetes | Amazon ECS | Jenkins | GitLab CI/CD | GitHub CI/CD | Bitbucket Pipelines | Ansible | Terraform | CloudFormation | Prometheus | Grafana | Datadog | Zabbix | ELK Stack | Elasticsearch | Logstash | Kibana | Graylog Web Development Front-End: React.js | Redux | Redux-Saga Back-End: Python | Django Rest Framework | Flask We use the Agile approach to ensure great products delivery. As our benefits, we provide the guarantee, NDA signing, and post-service for delivered products. Want to work together? I’d love to hear from you!