I'm a Senior DevOps & Cloud Infrastructure Engineer with 6+ years of hands-on experience building, securing, and automating cloud infrastructure on AWS, GCP, and Azure. I specialize in: ✅ AWS infrastructure (ECS Fargate, EKS, RDS, S3, Lambda, Bedrock, Cognito, API Gateway, EventBridge, SQS, CloudTrail, CloudWatch, IAM, Secrets Manager, CodeDeploy, Control Tower) ✅ DevSecOps & Security (AWS WAF, Network Firewall, VPC architecture, SIEM/Wazuh, CJIS compliance, Site-to-Site VPN) ✅ Kubernetes & Containers (EKS, ECS, Helm, Docker, Argonaut) ✅ Infrastructure as Code (Terraform, AWS CDK) ✅ CI/CD Pipelines (GitHub Actions, CodePipeline, Bitbucket Pipelines) ✅ Monitoring & Observability (Prometheus, Grafana, Alertmanager, CloudWatch) ✅ Self-hosted PaaS (Coolify, Dokploy, Caprover) ✅ Shopify App Deployment (OAuth, CSP headers, webhooks, reverse proxy) ✅ GenAI Infrastructure (AWS Bedrock, RAG pipelines, Terraform modules for Bedrock Agents) Recent highlights: 🔹 Redesigned AWS VPC architecture with centralized egress/ingress via Network Firewall — resolved critical production security audit findings 🔹 Built production-ready Terraform module for AWS Bedrock GenAI infrastructure (RAG stack) used across Dev/Test/Prod environments 🔹 Designed HA Kubernetes clusters on Scaleway with Cloudflare failover, WireGuard VPN DR, and automated Helm/Terraform CI/CD 🔹 Deployed complete monitoring stack (Prometheus + Grafana + Alertmanager) with smart alerting for production workloads I work with startups and enterprises across SaaS, healthcare, fintech, and e-commerce. Whether it's a greenfield cloud setup, a security hardening project, or a CI/CD pipeline overhaul — I deliver clean, documented, production-ready work. Top Rated Plus on Upwork | 96% JSS | $21K+ earned

🚀 With over 6 years of experience in DevOps and Linux system administration, I help companies build reliable, scalable, and secure cloud environments that support real business growth. My work focuses on designing and operating high-performance infrastructure across Amazon Web Services, Google Cloud Platform, Azure, and DigitalOcean, with an emphasis on automation, stability, and long-term maintainability. ☁️ I regularly work on aws devops and devops gcp projects where cloud infrastructure must remain predictable under load on aws. This includes designing deployment strategies, automating environments, and supporting production systems using kubernetes, container-based workflows, and Infrastructure-as-Code with terraform. By leveraging CI/CD pipelines, I help teams release faster while reducing operational risks. ⚙️ Automation plays a central role in my DevOps approach. I design and maintain infrastructure that is fully reproducible and easy to manage, applying tools such as terraform and configuration management to minimize manual effort and configuration drift. This allows teams to scale environments consistently across AWS, GCP, and Azure while maintaining visibility and control. 📊 I also focus heavily on system reliability and observability. By implementing monitoring and alerting solutions, I help teams gain real-time insight into system health, performance, and potential bottlenecks. This proactive approach ensures high availability and faster incident response in complex cloud environments. 🤝 I work closely with clients to understand their technical and business goals, turning infrastructure challenges into practical DevOps solutions. Whether collaborating with developers, product teams, or stakeholders, I value transparent communication and measurable results. Many clients rely on me as a long-term DevOps partner who can both execute hands-on work and advise on cloud strategy. 🎯 My goal is to deliver cloud infrastructure that is not only functional, but resilient, cost-efficient, and ready to scale. If you are looking for a DevOps engineer who understands Amazon Web Services, Google Cloud Platform, modern DevOps practices, and real-world production challenges, I’m ready to help move your infrastructure forward. 📩 Let’s connect and build cloud systems that your team can rely on with confidence.

𝐈 𝐛𝐮𝐢𝐥𝐝 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐠𝐫𝐚𝐝𝐞 𝐝𝐚𝐭𝐚 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 𝐟𝐨𝐫 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐝𝐞𝐚𝐥𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐛𝐫𝐨𝐤𝐞𝐧 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, 𝐬𝐜𝐚𝐭𝐭𝐞𝐫𝐞𝐝 𝐬𝐲𝐬𝐭𝐞𝐦𝐬, 𝐬𝐥𝐨𝐰 𝐫𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐮𝐧𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐦𝐞𝐭𝐫𝐢𝐜𝐬. I’m a Senior Data Engineer with 10+ years of experience building cloud data platforms, ETL/ELT pipelines, lakehouses, warehouses, and analytics-ready data layers using Microsoft Fabric, Snowflake, AWS, BigQuery, dbt, Python, SQL, Airflow, Fivetran, Airbyte, and Databricks. My focus is not just moving data from point A to point B. I design reliable data systems that are automated, scalable, well-modeled, and trusted by business teams. 𝐖𝐡𝐚𝐭 𝐈 𝐡𝐞𝐥𝐩 𝐰𝐢𝐭𝐡 ✅ 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐅𝐚𝐛𝐫𝐢𝐜 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 Lakehouse, Warehouse, Dataflows Gen2, pipelines, notebooks, semantic models, Medallion architecture, and Power BI-ready data layers. ✅ 𝐂𝐥𝐨𝐮𝐝 𝐃𝐚𝐭𝐚 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Snowflake, BigQuery, Redshift, Databricks, PostgreSQL, SQL Server, and Azure Synapse architecture. ✅ 𝐄𝐓𝐋/𝐄𝐋𝐓 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 API ingestion, database replication, SaaS integrations, file ingestion, batch jobs, incremental loads, and scheduled workflows. ✅ 𝐝𝐛𝐭 & 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 Staging, intermediate, marts, incremental models, tests, documentation, metric definitions, and business logic standardization. ✅ 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 Airflow, Dagster, AWS Lambda, Glue, Step Functions, ADF, CI/CD, monitoring, retries, alerts, and production workflow automation. ✅ 𝐃𝐚𝐭𝐚 𝐐𝐮𝐚𝐥𝐢𝐭𝐲 & 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 Deduplication, reconciliation, schema drift handling, validation rules, MDM, Golden Record logic, RBAC, access control, and audit-ready reporting layers. 𝐑𝐞𝐜𝐞𝐧𝐭 𝐩𝐫𝐨𝐣𝐞𝐜𝐭 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞: 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐅𝐚𝐛𝐫𝐢𝐜 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 Built a centralized Fabric platform with Lakehouse, Warehouse, Dataflows, pipelines, semantic models, and Power BI reporting layers for a global organization with fragmented reporting sources. 𝐍𝐞𝐚𝐫 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐒𝐧𝐨𝐰𝐟𝐥𝐚𝐤𝐞 𝐝𝐚𝐭𝐚 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 Designed operational pipelines into Snowflake with incremental ingestion, schema change handling, deduplication, retries, and reliable dbt-based reporting models. 𝐌𝐨𝐝𝐞𝐫𝐧 𝐒𝐚𝐚𝐒 𝐝𝐚𝐭𝐚 𝐬𝐭𝐚𝐜𝐤 Centralized HubSpot, Stripe, GA4, Google Ads, Salesforce, MongoDB, and product data into BigQuery/Snowflake using Fivetran, Airbyte, dbt, Dagster, and Metabase. 𝐋𝐞𝐠𝐚𝐜𝐲 𝐦𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐭𝐨 𝐜𝐥𝐨𝐮𝐝 𝐰𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞 Led migrations from SQL Server, SAP BW, Oracle, Hadoop, and on-prem systems into modern cloud warehouses with optimized performance and automated workflows. 𝐀𝐖𝐒 𝐝𝐚𝐭𝐚 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 Built automated workflows using S3, Lambda, Glue, Step Functions, IAM, SNS, CloudWatch, and Python to reduce manual reporting and improve pipeline reliability. 𝐓𝐨𝐨𝐥𝐬 𝐈 𝐰𝐨𝐫𝐤 𝐰𝐢𝐭𝐡 Microsoft Fabric, Snowflake, BigQuery, Redshift, Databricks, Azure Synapse, PostgreSQL, SQL Server, Oracle, SAP BW, Hadoop, dbt, Python, SQL, Airflow, Dagster, Fivetran, Airbyte, ADF, SSIS, Talend, AWS S3, Lambda, Glue, Step Functions, IAM, SNS, CloudWatch, Power BI, Tableau, Metabase, and Looker. You should reach out if you need a senior data engineer to: ✅ Build a cloud data warehouse or lakehouse ✅ Migrate legacy systems to Snowflake, Fabric, BigQuery, or AWS ✅ Fix unreliable ETL/ELT pipelines ✅ Design dbt models and trusted reporting layers ✅ Automate manual reporting workflows ✅ Integrate APIs, CRMs, ERPs, databases, and SaaS platforms ✅ Build production-ready data infrastructure for analytics and BI If your data stack is messy, slow, or hard to trust, send me a message. I’ll help you map the cleanest path from scattered systems to a reliable data platform.

As a passionate Software Engineer and Tech Enthusiast, I thrive at the intersection of innovation, scalability, and impact. With hands-on experience in full-stack development, cloud-native solutions, and DevOps practices, I enjoy turning complex problems into elegant, efficient, and user-friendly solutions. From building microservice-based architectures to implementing secure APIs and CI/CD pipelines, I take pride in crafting high-quality software that adds real value. I'm currently expanding my expertise in Kubernetes, Azure DevOps, and AI-powered applications — always learning, always evolving. Beyond code, I believe in strong collaboration, knowledge sharing, and mentoring others to grow together. If you're working on something exciting in cloud, AI, or scalable architecture — let’s connect and build something great! 🔧 Key Areas: Microservices | .NET | Python | React | Next | Express Azure DevOps | Azure | CI/CD | Kubernetes (K8s) RESTful APIs | JWT Security | Entity Framework AI Integration | Whisper | RAG | LLMs RDBMS | MongoDB | SQL | Indexing & Optimization Let’s connect and collaborate!

I'm a full-stack .NET developer with 11 years of experience based in Los Angeles. I'm a true full-stack developer, so I can work equally well on both front and back ends. I have experience in building applications from start to end, so I can take care of building almost any project, then supporting it for the long term. Here are some highlights from my background: - My tech stack is .NET, .NET Core, C#, SQL, Entity Framework, HTML, CSS, JavaScript, and Angular. - Experience with Azure and AWS. I'm especially good with Azure. I can setup Azure resources such as App Services, Function Apps, Azure SQL Databases, Storage Accounts, Key Vaults, Azure DevOps source control, deployment pipelines, etc. - Experience in working on large SaaS applications in healthcare, manufacturing, retail, human resources, and legal industries. - Experience in developing MVPs from start to end. - I write clean and understandable code with well defined architecture using best practices for software security. - Experience in SaaS and multi-tenant applications. - Great work ethics and honesty. If I don't know something, I'll tell you. If I messed up something, I'll tell you. My Certifications: - Microsoft Certified: Azure Developer Associate - Microsoft Certified: Azure AI Engineer Associate Also, I have a team of full-stack software developers. Building and supporting an application for a successful startup usually requires more than one developer. Building an application is like building a house. It usually requires a crew to complete. My team can join your project and help with building it, then support and enhance it in the future.

Hi, I'm Nidhi, a Microsoft Power Platform and Dynamics 365 Consultant with 10+ years of experience delivering business solutions that improve efficiency and automate processes. My expertise includes: * Power Apps * Power Automate * Dynamics 365 CRM * SharePoint Online * Power BI * Business Central I help businesses build custom applications, automate workflows, implement CRM solutions, and create insightful dashboards tailored to their business needs. Custom Power Apps Development Workflow Automation with Power Automate Dynamics 365 CRM Implementation & Customization SharePoint Solutions & Integration Power BI Dashboards & Reporting Reliable Communication & On-Time Delivery If you're looking for a dependable Microsoft expert to streamline your business processes, I'd be happy to help.

AI enabler | Principal architect & engineer Hello and welcome, I’m Hardik Mistry, a former Microsoft MVP with 15+ years of experience designing, scaling, and securing AI-powered and cloud-native systems for startups and Fortune 500 companies. I specialize in helping organizations adopt AI responsibly, modernize infrastructure, and optimize costs while ensuring performance, reliability, and security. From building real-time data platforms to deploying LLM-powered applications, my mission is simple: deliver solutions that scale and generate measurable business impact. WHAT I DELIVER • AI-Powered Systems → Chatbots, copilots, and enterprise AI agents using Azure OpenAI, Cognitive Services, and custom LLMs • Cloud Architecture at Scale → High availability (HA/DR), containerization, multi-region deployments, and cloud migrations • Performance Engineering → Low-latency backend design handling 100K+ concurrent users • DevSecOps Enablement → Tooling, automation, and security for engineering teams of any size • FinOps & Cost Optimization → Helping enterprises cut cloud spend without sacrificing performance INDUSTRIES SERVED FinTech, Healthcare, eCommerce & Retail, EdTech, Fashion, Customer Support Platforms TECH STACK EXPERTISE • Cloud & AI: Microsoft Azure, Azure OpenAI, Cognitive Services, AWS (intermediate) • Architecture: HA/DR, Cloud Migration, Multi-tenant SaaS, Event-driven systems • Engineering: C# .NET, Node.js, Dapr, APIs, IoT, Xamarin, MAUI • Data & Monitoring: ElasticSearch + Kibana, Prometheus, Azure AppInsights • DevOps & Security: Azure DevOps, GitHub Actions, Container Apps, Azure Defender HIGHLIGHT PROJECTS • AI Chatbot for a top lending company in Australia (Azure Cognitive Services + OpenAI) • Real-time IoT Data Pipeline with less than 200ms latency into Azure • EV Charging Backend built on OCPI protocols • Boosted productivity for 40+ engineers by driving DevOps adoption on Azure • Architected a SaaS customer support/sales tool (similar to ZenDesk/Pipedrive) • Performance engineering for scalable backend serving 100K+ concurrent users • Implemented enterprise HA/DR strategies ensuring SLA compliance WHY CLIENTS HIRE ME • Proven track record with Fortune 500 companies and high-growth startups • Unique blend of AI expertise, cloud architecture, and enterprise engineering • Ability to translate technical complexity into business outcomes • Hands-on mentorship and leadership for engineering teams If you’re looking to scale AI initiatives, modernize cloud infrastructure, or reduce cloud costs while improving performance — let’s connect. I typically respond within 24 hours.

I help companies build, migrate, and scale cloud infrastructure — from single-server setups to fully automated, production-ready environments. My core focus is AWS, DevOps, CI/CD, and infrastructure automation, with an emphasis on reliability, scalability, security, and cost optimization. 🔧 What I can help you with: AWS Cloud Infrastructure (EC2, ECS, EKS, RDS, S3, IAM, VPC, CloudWatch) Infrastructure as Code (Terraform) – modular, reusable, production-grade setups CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins) Docker & Kubernetes – containerized deployments and orchestration Serverless architectures (AWS Lambda, API Gateway) System design & scaling – load balancing, auto-scaling, high availability Monitoring & observability – logs, metrics, alerting, incident response Performance optimization & troubleshooting in production environments Cloud cost optimization and resource right-sizing Security best practices (IAM, secrets management, network isolation) Migrations to cloud (on-prem / legacy → AWS) 🚀 How I work: Focus on real production results, not just configs Build systems that are stable, predictable, and easy to maintain Reduce manual work through automation and clean workflows Quickly identify and fix bottlenecks and reliability issues I’ve worked with startups and growing SaaS products, helping them move from fragile setups to scalable, production-ready infrastructure. If you need someone who can take ownership, improve your system, and make it actually work under load

🚀 🥇 Top Rated Plus Engineer | Full Stack & Mobile | AI/ML, MLOps, AWS, Azure & Enterprise ETL I am Haziq, and I connect user applications to state-of-the-art neural architectures and cloud infrastructure seamlessly. With more than 40 enterprise systems built and delivered successfully on Upwork, along with 100% Job Success Score and Master’s Degree in Engineering, I design robust solutions that make difficult business logic easier. Unlike other developers that create only the simple front ends or simply wrap APIs for ChatGPT, I develop the whole system - from highly efficient web and mobile user interfaces to sophisticated multi-turn reasoning systems, customized neural networks, and extensive data ingestion pipelines on AWS and Microsoft Azure. ✅ What I Offer: • Full Stack & Mobile Engineering: Fully functioning web apps, efficient mobile app architecture, and responsive front end with integrated user interface with backing of powerful back end services. • AI Agent Building & Conversational AI: Self-driving agents with structured reasoning capabilities, memory, tools calling, and fast voice bots (n8n, Vapi, Retell AI, Twilio). • MLOps & Cloud Infrastructures: Full model training pipeline, automated versioning system, and deployment of models to be highly available on AWS and Microsoft Azure. • Data Science & Neural ETL: Fast automatic extraction of data, complex data cleaning pipeline, structural data analysis, and custom NNUE model training. 🎯 Production Accomplishments: • Designed production-ready multi-tenancy full stack platform architectures and automated backend infrastructures supporting webhooks and multi-tool synchronization of high throughput. • Designed custom workflow processes for training of NNUE neural network models for variant chess engines evaluations. • Implemented scalable ETL processes for past financial trading histories, automating data extraction, data cleansing, and storing vectors/database data. • Designed low-latency AI voice agents (Vapi/Retell AI) with integration to Twilio and GoHighLevel for automating workflows like humans do. • Improved and deployed open source Diffusion architecture-based image-to-image Virtual Try-On (VTON) API platforms. 💼 Technical Stack & Frameworks: • Core Programming: Python, JavaScript, Node.js, TypeScript, SQL • Front-End & Mobile: Web Application Development, Full-Stack Architecture, Mobile Integration UI • AI & Automation: Generative AI, Prompt Engineering, Large Language Models (LLMs), LangChain, n8n, Vapi, Retell AI, AI Bot Systems • Data Engineering & ML: MLOps, Data Science, Data Extraction, ETL Pipelines, Data Analysis, Retrieval Augmented Generation (RAG), Neural Networks • Cloud & Ecosystems: AWS (SageMaker, Lambda, ECS), Microsoft Azure, Supabase, Pinecone, PostgreSQL 🌟 What Makes Me Unique: I am extremely solution-driven and incredibly accountable for results. Not only do I code application logic or interface with APIs, but the whole product development process is my engineering challenge. Be it implementing a responsive mobile view, using data science to clean the messy historical datasets, or deploying an MLOps pipeline in the cloud with 99.9% uptime, I build systems that work. 📋 Services I Provide: • End-to-end Full Stack web and mobile application development • Scalable ETL pipeline design, high-volume data extraction, and deep statistical data analysis • Production ML pipeline development (MLOps) and deployment on AWS/Azure infrastructure • End-to-end n8n workflow setup, AI bot development, and multi-tool CRM integration • Custom Vapi & Retell AI voice agent development and low-latency conversation tuning • NNUE model training, custom tokenization, and chess engine variant mapping • AI SaaS MVP development from database architecture to secure production delivery 🤝 Working With Me: I take great emphasis on being very transparent, writing clean code and having dependable execution. I am good at converting difficult to define business cases into highly reliable automation. I can be there to provide technical consultation, implementation of solutions, and even support services. Are you ready to create your next high-performance software or increase efficiency of your business operations using top-notch machine learning algorithms? Just send me an invite or message. Keywords: Python, Generative AI, Prompt Engineering, Artificial Intelligence, Machine Learning, Data Extraction, ETL Pipeline, Data Analysis, Large Language Model, AI Agent Development, AI Bot, Microsoft Azure, AWS, Data Science, MLOps, Full Stack, Mobile Engineer, n8n, Vapi, LangChain, Conversational AI, SaaS Development, Chatbot Development.

Hi, I’m Rohit Mathur, a Senior DevOps Engineer and Cloud Architect trusted by startups and enterprises to build cloud-native, secure, and high-performance infrastructure. I design scalable, compliance-ready systems that handle real-world load — from early-stage startups to enterprise platforms processing millions of users and 100M+ API requests. I also specialize in AI/ML infrastructure, including NVIDIA GPU workloads, CUDA, Kubeflow, and production-grade inference pipelines, helping teams run ML systems reliably at scale. ✅ WHAT I DO (Quick Scan) • Cloud Architecture — AWS, Azure, GCP, Oracle • Infrastructure as Code — Terraform, CloudFormation, Ansible • Kubernetes at scale — EKS, AKS, GKE, OpenShift • CI/CD & automation — GitHub Actions, GitLab CI, Bitbucket Pipelines, Jenkins, ArgoCD, Harness • DevSecOps & security — SonarQube, SAST, DAST, IaC scanning • Compliance frameworks — SOC2, HIPAA, PCI-DSS, GDPR • High-traffic systems — SaaS, CPaaS, FinTech, Blockchain • AI / ML & GPU workloads — NVIDIA, CUDA, vLLM, Kubeflow, MLflow 🏭 INDUSTRIES I’VE WORKED IN • Startups (early-stage to scale-up) • Enterprise platforms • Banking & FinTech (secure, compliant systems) • Healthcare (HIPAA-aligned infrastructure) • Government & regulated environments • CPaaS / Telecom (high-volume traffic) • AI / ML platforms • Blockchain & Web3 📈 SCALE & IMPACT • Designed and operated 100+ SaaS & enterprise infrastructures • CPaaS platforms handling 100M+ API requests per month • Blockchain platforms serving 1M+ users • Production AI systems with GPU-backed inference at scale 🤝 HOW I WORK I work directly with CTOs, founders, and engineering leaders. I don’t just “set things up.” I take ownership of infrastructure, focusing on: • Stability and performance • Security and compliance • Cost control and FinOps • Scalability under real traffic • Long-term maintainability 📩 LET’S TALK Send me: • Your cloud provider • Your current scaling, security, or compliance challenge I’ll tell you exactly how I’d approach it — clearly and honestly.