I'm a senior software engineer with 10+ years building scalable backend systems, data infrastructure, and CI/CD pipelines for fintech, medtech, e-commerce, and SaaS companies. I specialize in transforming legacy applications into modern, cloud-native architectures and delivering production-ready solutions. WHAT I DO BEST Backend Development: PHP (Laravel, Symfony, Zend, PHP 8+, WordPress), Python (FastAPI, Flask), Node.js (NestJS, Express.js), RESTful APIs, microservices, event-driven systems, database optimization (MySQL, PostgreSQL, Redis, DynamoDB) Data Engineering: ETL/ELT pipelines with DBT, Snowflake, Apache Spark (Scala), data modeling and SQL optimization, real-time processing, workflow orchestration (Airflow, Dagster) DevOps and Cloud: AWS (Lambda, EC2, ECS, RDS, S3, SQS/SNS), Infrastructure as Code (Terraform, Ansible), containerization (Docker, Kubernetes), CI/CD (GitHub Actions, GitLab CI/CD, Jenkins, Bazel), monitoring (CloudWatch, Prometheus, Grafana) Database Engineering: MySQL and PostgreSQL (performance tuning, indexing, replication), NoSQL (DynamoDB, Redis), search engines (Solr, Elasticsearch), data warehousing (Snowflake) SERVICES I OFFER Backend API Development: Build secure, scalable REST APIs and microservices from scratch or enhance existing systems Legacy System Modernization: Refactor monolithic applications into maintainable, cloud-ready architectures DevOps and Infrastructure Automation: Set up CI/CD pipelines, containerize applications, automate deployments with Terraform Data Pipeline Engineering: Design and implement ETL/ELT workflows for analytics, reporting, and data integration Cloud Migration and Optimization: Migrate on-premise systems to AWS with cost optimization and scalability Technical Consulting: Architecture reviews, performance audits, and technical roadmap planning WHAT SETS ME APART Production-Ready Code: Every delivery includes clean, documented code, comprehensive testing, and deployment automation Full Lifecycle Ownership: From architecture design to production deployment and post-launch support DevOps Mindset: I build systems that are easy to deploy, monitor, and maintain Clear Communication: Regular updates, transparent timelines, and collaborative problem-solving Long-Term Thinking: Solutions built for maintainability, not quick fixes that create technical debt IDEAL PROJECTS Building backend APIs and microservices. Data pipeline development and warehouse integration. AWS infrastructure setup and optimization. CI/CD pipeline implementation. Legacy application modernization. Database design and optimization. Kubernetes deployment and orchestration. RECENT WORK Architected enterprise-grade CI/CD pipelines using GitHub Actions and Bazel, reducing deployment time by 40%. Built comprehensive data pipelines using DBT and Snowflake for fintech client. Refactored legacy e-commerce backend to Laravel, improving performance by 50%. Designed AWS infrastructure using Terraform for scalable cloud deployments. MY APPROACH I believe great engineering isn't just about writing code, it's about building systems that empower teams to move faster and ship with confidence. Whether you need a one-time API service or complete platform overhaul, I focus on delivering solutions that are robust, scalable, and easy for your team to evolve. Available for short-term projects and ongoing collaborations. If you're looking for a senior engineer who can architect, build, and deploy backend systems or data infrastructure with a DevOps-first mindset, let's discuss your project.

12+ years of corporate experience and a passion for supporting and delivering Data Analytics and Business Intelligence solutions using Tableau, MicroStrategy, and Salesforce Tableau CRM. I have delivered complex reporting solutions in the areas of Finance, Quality, and Operations and have analyzed data for the following domains: Healthcare, Telecommunications, and Banking. Certified Tableau Desktop Specialist and Salesforce Developer

I build production-grade data platforms, AI systems, and automation workflows, not experiments or disconnected scripts. Companies work with me to turn raw business data into reliable pipelines, intelligent AI workflows, and automated operations that run consistently in production. If your organization struggles with fragmented data systems, manual reporting, unstable pipelines, or disconnected tools, I design architectures that are scalable, observable, and built for long-term reliability. Who This Is For This profile is a strong fit if you: • Need scalable data pipelines and modern data platforms • Want to implement AI systems powered by business data • Are building analytics, automation, or AI copilots for internal teams • Care about data quality, reliability, and system scalability • Want architectures your engineering team can maintain long-term Not a fit if: • You want a quick prototype without production use • You only need simple scripts or small data fixes What I Build Data Engineering Platforms • End-to-end data pipelines and ETL/ELT workflows • Cloud data warehouse and lakehouse architectures • Scalable data processing with Spark / PySpark • Data modeling for analytics and reporting • Reliable ingestion pipelines from APIs, databases, and SaaS tools AI & LLM Systems • AI workflows powered by OpenAI, Claude, and modern LLMs • Retrieval-Augmented Generation (RAG) systems • Knowledge assistants built on enterprise data • Embeddings and vector database pipelines • AI copilots for internal tools and business operations Automation & Integrations • CRM automation and lead management workflows • Business process automation across SaaS platforms • API integrations and webhook-based systems • Workflow orchestration using modern automation tools Analytics & Reporting • Data warehouse optimization for analytics • Business intelligence pipelines • Executive dashboards and reporting systems Technologies I Work With Data Engineering Python • SQL • PySpark • Apache Spark • dbt Cloud Platforms Azure • AWS • Snowflake • Microsoft Fabric Data Tools Databricks • Azure Data Factory • Airflow AI & LLM Systems OpenAI • Claude • RAG pipelines • embeddings • vector databases Automation & Integrations n8n • Zapier • Make • APIs • Webhooks Analytics Power BI How I Work • Understand business goals and current system limitations • Design clear data and AI architecture • Build scalable pipelines and automation workflows • Implement monitoring, testing, and optimization • Deliver well-documented systems your team can maintain Results I Deliver • Modern cloud data platforms replacing legacy systems • Reliable pipelines that process large-scale data efficiently • AI systems that interact with real business data • Automated workflows that eliminate manual processes • Data-driven systems that support analytics and decision-making

Hi there — I’m Mohamed Elmougith, a Senior Data Management & BI Consultant with over a decade of experience helping organizations turn complex, scattered data into reliable, decision-ready insights. I specialize in Data Governance, Engineering, and Reporting, combining business understanding with technical execution across the full data lifecycle — from architecture and modeling to visualization and governance. 🔹 What I Do Best 🔵Design and build robust data architectures — Data Lakes, Warehouses, and Marts using Python, SQLModel, PostgreSQL, and SSIS / ADF. 🔵Develop ETL/ELT pipelines for ERP ecosystems such as SAP S/4HANA, Oracle EBS, and Maximo. 🔵Deliver insightful Power BI dashboards and performance-optimized DAX models for executive reporting. 🔵Implement data governance frameworks — policies, data quality monitoring, lineage tracking, and stewardship workflows using tools like OpenMetadata and custom Python automations. 🔵Advise leadership teams on Data Strategy & Operating Models, aligning technology with business objectives. 🔹 Beyond Consulting I’m also a Tutor-Reviewer at TripleTen, mentoring professionals in BI, analytics, and data architecture. 🔹 My Approach I work as a partner, not a vendor — helping clients design solutions that are maintainable, well-governed, and built for the long term. My goal is to make your data environment simpler, smarter, and more transparent. If you’re looking for a consultant who can bridge business strategy, data governance, and engineering execution, let’s connect.

🥇 Top Rated · 100% Job Success · 5.0★ · 15 companies trust me with their live systems right now Send me an invite or message and within 24 hours I'll share with you exactly how I'd build your project, before you spend a dollar. That's my standing offer. I do two things, and I do both at production grade: 𝟏. 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: systems that work for you 24/7 • Custom AI agents & MCP servers (Claude Code, Claude API, OpenAI), I'm one of the few freelancers on Upwork shipping production MCP servers, not ChatGPT wrappers • n8n / Zapier / Make workflows: lead intake, CRM sync, AI follow-ups, reporting • Full GTM & outbound engines: Clay + Instantly + Apollo + LinkedIn + your CRM (HubSpot, Salesforce, Attio, GoHighLevel, Zoho) • Tracking & attribution baked in: GA4, Google Tag Manager, server-side Meta CAPI, Stripe webhooks, so you see exactly what your automation earns 𝟐. 𝐖𝐞𝐛 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: fast sites wired into your revenue stack • Next.js / Astro / Vercel builds, headless CMS (Sanity, Ghost, WordPress, Shopify) • Every site ships with analytics, pixels, conversion tracking, and CRM integration on day one, not as an afterthought • AI content engines behind the site: bulk SEO article generation, AI image & video pipelines 𝐏𝐫𝐨𝐨𝐟, 𝐧𝐨𝐭 𝐩𝐫𝐨𝐦𝐢𝐬𝐞𝐬: 🎯 A 25-year luxury real-estate veteran titled his review "The Master Engineer" after I rebuilt his tracking + remarketing system 🎯 Analytics Engineer at Bench Accounting: data pipelines across 11,000+ client environments at an $89M fintech 🎯 BI Analyst at a Havas Media agency: Toyota, Adidas, PlayStation, Sun Life 🎯 Grew a personal brand 0 → 350,000 followers in 7 months on my own automation stack (20 min/day) 🎯 100% Job Success · 5.0★ · 15 active contracts as you read this 𝐖𝐡𝐲 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐬𝐭𝐚𝐲: 🤝 Production-grade, not prototype-grade: systems built to survive real traffic 🤝 Strategic operator, not order-taker: I take ownership, no hand-holding required 🤝 Documented handover + final Loom walkthrough: stop paying me and everything keeps running Let's talk about your project. 🥳

I help businesses build and deploy machine learning solutions using Python and modern data infrastructure. With hands-on experience in applied ML and data engineering, I specialize in developing models, automating workflows, and integrating intelligent systems into production environments. Core Skills: AI, Machine Learning & LLM Systems - End-to-end ML system design (training -> deployment -> monitoring) - Large Language Model applications using OpenAI, Claude, Mistral, Vertex AI - Retrieval-Augmented Generation pipelines (LangChain, LangGraph) - Vector search and embeddings (Pinecone, Weaviate, FAISS) - NLP systems (semantic search, classification, summarization) - Model lifecycle automation (training, retraining, promotion) - ML observability, evaluation, and drift monitoring Data Engineering & Analytics - Full-cycle ETL/ELT architecture using Python, Airflow, Dagster - Cloud data warehousing (Snowflake, BigQuery, Redshift, PostgreSQL) - Data modeling, transformations, and lineage with dbt - Real-time and batch ingestion from APIs, databases, and cloud storage - Data validation, CDC, anomaly detection, and schema evolution - BI and reporting integrations (Power BI, Looker, Metabase, Google Sheets) Backend Engineering & APIs - Backend development with Python (FastAPI, Django, Flask) - Scalable REST and GraphQL API design - Asynchronous task processing (Celery, RabbitMQ, Redis) - Secure, modular, and well-documented backend architectures - AI-ready APIs for ML and LLM inference DevOps, Cloud & Infrastructure - Cloud platforms: AWS, GCP, Azure, DigitalOcean - Containerization and orchestration (Docker, Kubernetes) - Infrastructure-as-Code with Terraform - CI/CD pipelines (Github Actions, Gitlab CI, Jenkins) - Cost-aware, scalable, and fault-tolerant system design I focus on clean, scalable, and production-ready solutions that deliver measurable business outcomes.

ETL-focused Data Analyst Engineer with 3 years of experience designing data pipelines and analytics solutions on GCP and AWS. Strong communicator with ability to manage end-to-end data projects independently and deliver actionable insights through Python, SQL, and modern BI tools. Skilled in building scalable ETL workflows using Dataform and DBT, and experienced in LookML-based data modeling to power robust self-service analytics in Looker.

With over a decade of experience and successful collaborations with 30+ startups, I bring a unique blend of deep technical expertise and creative problem-solving to deliver scalable, secure, and user-focused solutions. As a Senior Full Stack Developer, I specialize in building everything from SaaS products and modern e-commerce platforms to AI-driven applications, bridging the gap between business vision and technical execution across front-end, back-end, DevOps, and AI/ML domains. 🛠️ Full Tech Stack Breakdown: 🔍 Back-End Magic: Languages & Frameworks: Node.js (Express, NestJS) | Python (Django, FastAPI, Flask) | Ruby on Rails | PHP (Laravel) Databases: PostgreSQL | MySQL | MongoDB | Redis | SQLite API Design & Integration: RESTful APIs | GraphQL | gRPC | WebSockets Third-party API integrations (Stripe, Firebase, AWS, Twilio, Social Media APIs) 🖌️ Front-End Innovation: Libraries & Frameworks: React.js | Next.js | Angular | Vue.js | Svelte UI & Styling: TypeScript | Tailwind CSS | Bootstrap | Material UI | Chakra UI | SCSS | LESS State Management: Redux | Context API | Recoil | Zustand Build Tools & Bundlers: Webpack | Vite | Babel | ESLint | Prettier 📱 Mobile App Development: React Native | Expo | Flutter (Dart) ☁️ Cloud & DevOps: Platforms: AWS (EC2, S3, RDS, Lambda, CloudFront) | GCP | Azure | Heroku | Vercel | Netlify Containerization & Orchestration: Docker | Kubernetes CI/CD & Deployment: GitHub Actions | GitLab CI | Jenkins | Bitbucket Pipelines Monitoring & Logging: Prometheus | Grafana | ELK Stack | Sentry 🤖 AI / Machine Learning / Data Science: Languages & Libraries: Python | R | Scikit-learn | TensorFlow | Keras | PyTorch | XGBoost | OpenCV NLP & LLMs: spaCy | Hugging Face Transformers | NLTK | GPT (OpenAI API) | LangChain | LLaMA | RAG Data Science & Analytics: Pandas | NumPy | Matplotlib | Seaborn | Plotly | PowerBI Big Data & Cloud AI: Apache Spark | PySpark | Databricks | Google BigQuery | Azure AI Studio | AWS SageMaker Database & ETL: Snowflake | Airflow | dbt | PostgreSQL | MongoDB | Kafka 🔄 Development Workflow: Version Control: Git (GitHub, GitLab, Bitbucket) Agile/DevOps: Jira | Trello | Slack | ClickUp Code Quality & Testing: RSpec | PyTest | Jest | Mocha | Cypress | Postman 🌟 Client Satisfaction: I’ve delivered results to high-growth startups across industries like e-commerce, media tech, fintech, healthcare, real estate, and education. My focus is always on performance, security, scalability, and user experience. Clear communication, reliable delivery, and a proactive mindset are what I bring to every project. 🚀 Ready to Elevate Your Vision? If you're looking for a senior-level developer who can lead and build full-stack applications, integrate AI/ML capabilities, and deliver secure, modern solutions. Let's talk. ✉️ Contact me now, let’s build something great together!

With over 18 years of experience in Full-Stack Development (MERN, Python), AI, and Data Engineering, I have a proven track record of building and scaling web applications, data pipelines, and real-time systems for enterprise-level customers. As a Top-Rated Plus freelancer with a 100% Job Success Rate and over $50K earned on Upwork, I specialize in MERN stack development, API integration, and cloud infrastructure to deliver scalable, high-performance ERP applications and complex systems. Key Expertise: As a MERN Stack Developer, I specialize in React.js and Node.js with expertise in designing scalable service APIs (REST, SOAP, GraphQL, Microservices) hosted on cloud environments like AWS. I excel in performing code reviews, ensuring optimal performance, and writing reusable code that enhances scalability and security. Full-Stack Development Expertise: Expertise in React.js (Hooks), Node.js, MongoDB, Express.js, and Apollo for front-end and back-end development. Experience building and optimizing secured backend APIs consumed by multiple applications (web and mobile). Developing highly scalable APIs using GraphQL, RESTful services, and Microservices architecture. Building complex ERP systems with enterprise-level clients, ensuring performance, scalability, and security. Experience with Socket.IO for real-time communication. Cloud Infrastructure: I bring hands-on experience with AWS services like EC2, S3, RDS, Lambda, ElasticSearch, API Gateway, and more. My proficiency in cloud infrastructure ensures that applications are designed, deployed, and managed in a highly scalable and secure manner. Cloud and DevOps Expertise: AWS EC2, S3, Lambda, ElasticSearch, Elastic Beanstalk, API Gateway, RDS, SQS, EC2 Container Service for cloud environments. CI/CD pipelines with GitLab, Jenkins, and automated testing to deliver reliable and efficient software solutions. Security implementation using OAuth 2.0, JWT, and SSL/TLS. Responsibilities & Key Contributions: As part of large-scale projects, I provide code review services to ensure that the code meets industry standards and best practices. I also contribute by fixing bugs and implementing new modules as needed to ensure smooth delivery and continuous improvement of the application. Advanced Skills: Writing reusable code and optimizing applications for scalability and performance. Experience with testing frameworks and implementing automated testing platforms like NUnit, JUnit, and others. Deep understanding of back-end systems using Koa, Oracle, Redis, and MongoDB. Ensuring best practices in UI/UX design and responsive design using React.js with Tailwind CSS and Material-UI. Experience & Education: Bachelor’s in Computer Science with a deep technical background in full-stack development. Over 18 years of experience in building, scaling, and optimizing full-stack web applications for enterprise-level customers. Recent Success: I’ve successfully completed 28+ projects on Upwork, earning over $50K in revenue, with a reputation for delivering scalable, high-performance ERP systems and enterprise-grade solutions on time. Skills & Expertise: Front-End Development: React.js, Redux, HTML5, CSS3, Tailwind CSS, Material-UI Back-End Development: Node.js, Express.js, Apollo, Koa, MongoDB, Redis, Oracle API Development: REST, GraphQL, Microservices Cloud: AWS (EC2, S3, Lambda, ElasticSearch, RDS, API Gateway, Elastic Beanstalk) DevOps: CI/CD pipelines (GitLab, Jenkins), Docker, Kubernetes Testing & Security: Automated testing platforms, OAuth 2.0, JWT, SSL/TLS I am seeking a long-term, full-time contract opportunity where I can bring my expertise in the MERN stack to develop complex applications, perform code reviews, and contribute to the success of your enterprise-grade projects. Let’s work together to build robust, scalable, and efficient solutions that drive business success!

I work with startups and tech companies that have outgrown their initial data setup. If you're using Snowflake, dbt, or a modern data stack and experiencing performance bottlenecks, rising cloud costs, or architectural complexity, I provide high-level architecture reviews and optimization strategies. Background includes advanced ML optimization research and real-world data platform modernization projects in US-based environments. Let’s turn your data infrastructure into a strategic asset instead of a cost center.