Most data problems show up the same way, whether it's a spreadsheet someone updates by hand every week or a pipeline that's quietly started giving numbers nobody trusts. I build and fix ETL pipelines, warehouses, and API integrations on GCP and AWS, from replacing manual copy-paste with automated pulls to cutting a client's warehouse costs by ~50%. Tell me what's manual or what feels off, and I'll give you a straight read on what it'll take to fix it. Over the last 3 years I've delivered 55+ data projects across finance, healthcare, energy, and e-commerce, from one-off ETL jobs to platforms processing billions of records a day. I work GCP-first (BigQuery, Airflow, dbt, Dataflow), and I'm comfortable across AWS, Postgres, and the messy real-world stack most teams actually have. What I build: - End-to-end ETL/ELT pipelines in Python, SQL, Airflow, and dbt - BigQuery / Snowflake / Redshift warehouses and data models that stay clean as they grow - Migrations off legacy jobs and on-prem databases — without losing data in the move - Metabase, Looker Studio, and Power BI dashboards your team will actually open - Query and cost optimization when your warehouse bill stops making sense - API integrations with proper logging, retries, and checkpoints, so failures are visible instead of silent You probably need me if: - Your pipelines break and you hear it from a stakeholder, not an alert - Reports run slow, cost too much, or quietly disagree with each other - A previous developer left and nobody fully understands the setup anymore - You're scaling fast and the current data stack is starting to crack A few real results: - Architected pipelines processing 5B+ records daily at 99% reliability - Cut a client's warehouse costs ~50% by migrating legacy jobs to BigQuery - 4× throughput and 70% faster ingestion on an API pipeline pulling 2K+ domains a day - 40% faster pipeline runs through Airflow optimization How I work: a clear yes/no on feasibility before you commit, regular updates, and no disappearing mid-project. Most clients come back — usually because fixing one thing surfaces the next. If that sounds like your situation, send a short note on what's breaking or what you're trying to build, and I'll tell you straight what it'll take.

I am a Data Scientist and ML/BI Engineer specialized in building and industrializing data & ML pipelines on Google Cloud. With 5 years of experience across large enterprises (Amazon, Equifax, SFR), scale-ups (Glovo) and multiple freelance projects in Europe, I help companies design robust data architectures, automate analytics workflows and deploy production-grade ML systems. My expertise covers the full lifecycle: • Data engineering on GCP (BigQuery, Cloud Run, Cloud Functions, Vertex AI) • End-to-end ML engineering & MLOps (model migration, training, serving, CI/CD) • BI and analytics solutions (Looker, Power BI, dbt, automated reporting) • API/Data integrations and process automation at scale Today I work through my EURL Damiani Data Consulting, supporting SMEs, scale-ups and grands comptes in modernizing their data stack and delivering actionable, production-ready solutions. 🔊​Call to Action: Feel free to contact me for data-driven solutions to your business challenges. Let's work together to turn your data into actionable insights.

🚫 Stop Patching. Start Scaling. Spreadsheets, Zapier chains, and half-working GPT prompts can feel like control. In reality, they are what is holding you back. You don’t need more hacks. You need real AI infrastructure: systems that are scalable, safe, and built to last. I help teams diagnose the chaos, design the fix, and deploy AI-powered automations that actually move the needle - from intake optimization to agent copilots to real-time CRM nudges. ⸻ 🔧 What You’ll Get AI Automations That Work (and Last) • LLM-augmented intake flows for forms, chats, and CRMs • RAG (Retrieval-Augmented Generation) for instant internal knowledge access • Live Google Sheets enrichment with AI lookups • Workflow orchestration with n8n, Clay, Zapier, or a custom stack Copilot Agents That Teams Actually Use • GPT-powered assistants in Slack, Notion, or Google Chat • Instant doc search and embedded QA tools (<3s latency) • Auto-summarization for cases, leads, or tickets to speed triage • Human-in-loop oversight with audit trails and confidence scores Lead Research & Data Activation • Custom lead pull workflows with Clay, Browserbase, or OpenAI • Automatic ICP scoring, segment tagging, and outreach prep • CRM enrichment with context, buying intent, and recommended actions • Personalized outreach draft flows for SDR teams ⸻ 🏆 Why Teams Trust Me • Led AI rollouts across legal, healthcare, DTC, and real estate • Helped clients cut case handling time by 30%, deploy 20+ AI agents, and ship copilots used daily by 25+ reps • Every build is documented (Looms, Notion, Slack) so your team learns, not just uses • No black boxes. Everything is inspectable, versioned, and scalable ⸻ 🛠 Tools I Run On Workflow & Automation: n8n, Zapier, Clay, Browserbase, AirOps LLM & RAG Infrastructure: OpenAI, Firecrawl, Relevance AI, LangChain Data Enrichment & Modeling: dbt, Snowflake, BigQuery, Google Sheets, Segment CRM & Activation: HubSpot, Klaviyo, Customer.io, Hightouch, Census Communication & Enablement: Slack, Notion, Linear, Loom ⸻ 📂 Proof in Action • Call Center Copilot: Slack-native AI agent that cut training time & error rates by 90% • Legal Medical Record Assistant: Summarized intake + records, reducing triage from 10 days to <2 weeks • Retail Monitoring System: 900+ stores with real-time stockout alerts in under 5 minutes • GPT-Augmented Outreach: Automated scoring + messaging that closed new B2B clients in 30 days ⸻ 💬 Work With Me If… • You’re overwhelmed by repetitive ops tasks • You care about safety, oversight, and performance, not just shiny demos • You want automations that unlock 100+ hours/month in team capacity ⸻ 📅 Ready to Get Started? Book a diagnostic call. In Week 1, you’ll have something live, documented, and delivering value — so your team understands it, not just uses it.

Need to automate your business workflows, Build a startup, and build AI-driven systems that save hours every week? I create powerful automation solutions using n8n, Make, Zapier, Python, Supabase, and custom API integrations, giving you smart, scalable, hands-off operations. As an AI Workflow Automation Expert, I specialize in building intelligent agents, CRM automations, Supabase-powered backends, and autonomous systems that help businesses operate faster with fewer errors. 🔹 Core Skills ➤ AI Automation & Intelligent Agents (LLMs, RAG, memory, tool-based agents) ➤ Workflow Automation using n8n, Make.com, Zapier, GoHighLevel ➤ CRM Automations (HubSpot, GHL, Pipedrive, Zoho, Airtable, Notion) ➤ Startups (Via Full-Stack coding or Lovable, Boult ) ➤ Python Automation (APIs, bots, scripts, web scraping, data extraction) ➤ Postgress/Supabase Development (auth, database, edge functions, automation) ➤ API Integration & Custom Webhooks ➤ Product Integrations (Stripe, Boult, WATI, WhatsApp Cloud API) ➤ Cloud Deployments (AWS Lambda, EC2, S3) ➤ AI Chatbots & Support Agents (GPT-4o, Claude, custom-trained bots) 🔹 Key Achievements ➤ Built AI and automation systems that reduced manual workload by 20–40 hours/week for clients. ➤ Developed an AI chatbot integrated with user-generated fight analysis reports for a BJJ training platform. ➤ Automated promo code creation and Stripe workflows using n8n + Python, reducing operational effort by 90%. ➤ Built multi-step CRM automations (lead tagging, pipeline routing, follow-ups) in GHL, HubSpot, and Zapier. ➤ Created custom scraping + PDF-report pipelines for fight video analysis using Python. ➤ Developed an AI sales agent using WATI, ChatGPT, and Supabase to qualify leads, collect applicant details, and automate WhatsApp follow-ups for Clipmasters Academy. ➤ Integrated automation workflows for wearable brand Boult, improving data flow, tagging, and notifications. 🔹 How I Support Startups & Businesses ➤ Build fully autonomous AI agents for sales, support, onboarding, and operations ➤ Create CRM workflows across multiple platforms (lead scoring, tagging, notifications) ➤ Automate subscriptions, payments, and billing (Stripe, Boult API, PayPal) ➤ Build Supabase-driven backends for apps, portals, and automated processes ➤ Integrate APIs between systems for seamless data flow ➤ Develop custom Python bots and backend automations ➤ Build AI chatbots trained on your documents, SOPs, and business data 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 & 𝗧𝗼𝗼𝗹𝘀 𝗜 𝗦𝘂𝗽𝗽𝗼𝗿𝘁 𝗠𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗪𝗶𝘁𝗵 🛠 Automation Tools — Make.com, Zapier, n8n, Lovable 🛠 Artificial Intelligence — ChatGPT, Google Gemini, Custom LLM Agents 🛠 Spreadsheets & Databases — Google Sheets, Airtable, Excel, Supabase 🛠 eCommerce Platforms — Shopify, WooCommerce, Amazon Seller Central, eBay 🛠 Project Management — Monday.com, Asana, Trello, ClickUp, Notion 🛠 Google Workspace — Google Docs, Google Forms, Google Cloud 🛠 Microsoft Ecosystem — Excel, Outlook, Power Automate, Azure 🛠 CRM Systems — HubSpot, Salesforce, Pipedrive, Zoho, GoHighLevel 🛠 ERP & Enterprise Tools — Oracle NetSuite, ADP 🛠 Customer Support Platforms — Zendesk, Intercom, Freshdesk 🛠 Messaging Apps — Slack, WhatsApp, SMS, Email, WATI 🛠 Development & Collaboration — Jira, Linear, GitHub 🛠 Email Marketing — Mailchimp, Klaviyo, ActiveCampaign, Mailgun 🛠 CMS Platforms — WordPress, Webflow, Squarespace 🛠 Forms & Document Platforms — DocuSign, Typeform, JotForm, PandaDoc, SurveyMonkey 🛠 Custom API Development & Integrations — REST, Webhooks, JSON, Third-Party APIs 🔹 Why Choose Me? ➤ Automation-First Approach: Systems designed to run reliably without human involvement ➤ AI-Driven Expertise: Modern LLMs used for reasoning, analysis, and decision automation ➤ Technical Depth: Strong background in Python, Supabase, CRMs, and automation tools ➤ Business Value: Focused on saving time, reducing errors, and boosting efficiency ➤ Clear Communication: Simple explanations, proactive updates, and smooth collaboration ✅ Let’s convert your manual, time-consuming processes into smart, AI-powered automation that scales your business effortlessly.

I am a Professional Data person fluent in Data Analytics and Data Engineering. I turn messy data into clear insights and automate end-to-end Data-to-Decision systems. My work spans Product Analytics & Data Engineering, so I do not just analyze data; I build the pipelines, models, and dashboards that power decisions. Certifications: dbt Certified Developer TechStack Python • SQL • dbt • Shopify Analytics • Airflow • Looker Studio • Looker • n8n • PowerBI • Power Automate • Airtable •Tableau • BigQuery • GCP • LLM APIs • Excel If you need someone who understands data end-to-end and will hold themselves accountable to measurable business outcomes, let’s talk. What Else Can I Do? - Create detailed documentation for data requirements and data strategy. - Build data pipelines from scratch to meet your goals, including API-based data extraction. - Build clear visualizations that highlight the most important insights. - Automate routine workflows with Python or n8n. - Analyze Shopify data using Shopify app API (version: 2026) Feel free to reach out through Upwork messaging to get started. You’re also welcome to contact me just for ideas or a conversation, even if you’re not yet sure about the full scope of the work.

With years of hands-on experience in AWS, ETL engineering, AI, LLM integrations, business automation and business integration, I help teams fix broken pipelines, build end-to-end cloud architectures, and deploy intelligent automation that saves time and reduces operational friction. I build scalable AWS data platforms and AI-powered automation systems that transform raw, messy data into fast, reliable, and intelligent pipelines ready for analytics and production workloads. I build reliable business automation using APIs, Zapier, n8n, and custom middleware. I deliver End-to-end business automation, API-first integrations, and production-grade AI systems across AWS, Zapier, n8n, and custom Node/PHP service 🔹 What I Do Best (and Deliver Quickly) 1️⃣ Scalable AWS Data Engineering High-volume ETL/ELT pipelines (Glue, Lambda, Step Functions, EMR, Athena) Redshift & Lakehouse architecture Streaming ingestion (Kinesis, MSK) Optimized S3 → Warehouse workflows dbt transformations & data modeling 2️⃣ AI & Machine Learning Systems Predictive analytics, forecasting, anomaly detection SageMaker pipelines & model deployment PyTorch & Python ML systems Evaluation, monitoring, and production optimization 3️⃣ LLM / RAG / AI Automation Retrieval-Augmented Generation (LangChain, LlamaIndex) Document intelligence & PDF processing LLM agents using OpenAI, Anthropic, Gemini Model Context Protocol (MCP) integrations Chatbots with citations, vector search, and advanced retrieval 4️⃣ Infrastructure & DevOps Terraform, CloudFormation, CI/CD (GitHub Actions) Highly available containerized workloads (ECS, EKS) CloudWatch dashboards, Prometheus monitoring End-to-end system hardening & cost optimization 5️⃣ Business Automation & System Integration End-to-end business automation and business integration solutions Workflow automation using Zapier and n8n for rapid orchestration Custom Node.js and PHP-based middleware for complex or non-standard integrations API-first system design (SP-API, internal tools, SaaS platforms) Reliable, observable automation pipelines (not brittle scripts) 🔹 My Stack Programming & Data: Python | SQL | PySpark | Node.js | PHP | Java | Scala | Bash | REST APIs | JSON | Data Structures | Algorithmic Problem Solving Cloud & Data Engineering: AWS (Glue | Lambda | S3 | Redshift | Athena | Step Functions | EMR | EventBridge | CloudWatch) | Databricks | dbt | Data Lakes | Lakehouse Architecture | ETL/ELT Pipelines | Data Warehousing | Serverless Architecture | Cloud Security | Cost Optimization | GCP Big Data & Analytics: Apache Spark | Distributed Data Processing | Data Modeling | Analytics Engineering | Business Intelligence | Batch Processing | Streaming Data Pipelines | Data Quality Frameworks | KPI & Metrics Design | SQL Optimization | Query Performance Tuning | Reporting Pipelines AI & Machine Learning: Machine Learning | NLP | Predictive Analytics | LLMs | RAG Systems | OpenAI | Anthropic | Gemini | LangChain | Document Intelligence | Supervised Learning | Unsupervised Learning | Feature Engineering | Model Evaluation | Model Deployment | AI Automation Automation & Integration: Zapier | n8n | Business Process Automation | API Integrations | Event-Driven Workflows | Workflow Orchestration | SaaS Integrations | CRM Automation | Data Sync Pipelines | Webhooks | Low-Code / No-Code Automation | Operational Automation DevOps & Infrastructure: Terraform | Docker | CI/CD | GitHub | GitHub Actions | Cloud Automation | Monitoring I build systems that are scalable, resilient, cost-efficient, and automation-first, designed to integrate seamlessly into real business operations and grow with demand. Let’s Build Something That Scales Whether you need a high-throughput ETL pipeline, a cloud-native AI system, or a fault-tolerant LLM/RAG application, I can help you deliver it quickly and cleanly. Send me a message, I’d love to understand your system and see how I can help.

I am a Snowflake SnowPro Core Certified and AWS Certified Data Engineer – Associate with 10+ years of experience designing and delivering enterprise-grade data platforms. I help organizations build scalable, secure, and high-performance data solutions using Snowflake and AWS. My expertise includes: • Snowflake Data Warehouse Design & Optimization • AWS Data Engineering (S3, Glue, Lambda, IAM, Redshift) • End-to-End ETL / ELT Pipeline Development • Data Modeling (Star Schema, SCD, Fact/Dimension Design) • Cloud Data Migration (On-Prem to Snowflake / AWS) • Performance Tuning & Cost Optimization • SQL, T-SQL, Stored Procedures, Data Governance I have worked with large datasets handling millions of records daily, ensuring data integrity, governance, and optimal performance. Whether you need to: • Migrate your data warehouse to Snowflake • Build AWS-based data pipelines • Optimize Snowflake cost and performance • Design a modern analytics platform I can help you deliver a reliable and scalable solution. Let’s discuss your project goals. Certifications: • Snowflake SnowPro Core Certified • AWS Certified Data Engineer – Associate

I’m a senior data specialist with 10 years of international experience across the US and Europe. I bridge the gap between heavy-duty data engineering and business vision. Building lightning-fast pipelines and Power BI dashboards your team will actually want to use. No hand-holding or tech jargon required. What we can spin up together: -Power BI & Fabric: End-to-end Lakehouse architecture, heavy DAX optimization, and clean visuals. -Rock-Solid ETL: Clean data modeling using SQL, Python, Power Query, dbt, or GCP. You name it. -Cross-Platform Fluent: Microsoft ecosystem specialist, decent with GCP solutions, and comfortable with Snowflake (no AWS, though). -Team Upskilling: 1-on-1 coaching to help your internal team master best practices. Whether you just need a broken dashboard fixed or a ground-up data warehouse architecture, let’s jump on a quick chat and get it sorted.

I am a Snowflake Certified Data Engineer with 7+ years of experience in ETL, BI, and DWH. Currently working as Lead on multiple projects. Having excellent analytical & design skills, a focused approach, a professional attitude to work, and working at the Pacific Standard Time will make me the perfect candidate that you are looking for! PROFILE:- • Proficient in building data pipelines with Python, Snowflake, and Airflow • Hand-on experience on DBT, Pentaho Data Integration, IBM Data Stage, Informatica • Exposure to large data volumes in major database systems like Postgres, Redshift • Deep knowledge of SQL, and Reporting experience in Tableau, Sigma Computing, Power BI • Experience in DWH with substantial knowledge of Finance, Home Services, and Retail domains • Experience in working in Agile Environments like JIRA, Trello • Working knowledge of complete Data warehouse development life cycle SKILL SUMMARY:- Databases • Snowflake - Snowflake Essentials Certified • SnowPro Core • Native Apps • Streamlit • PostgreSQL :- 9.3, 9.5 • Oracle • Vertica • Amazon Redshift • Microsoft SQL Server • MySQL Data Integration Tools & Technologies • DBT • Python :- 2.7, 3.6, 3.8 • FiveTran • Upsolver • Pentaho Data Integration :- 5.0, 5.1, 5.2, 6.0, 6.1, 7.1 • IBM Data Stage • Precog BI/Reporting • Sigma • Tableau • IBM Cognos • Looker • Pentaho Reports Looking forward to working with you!

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.