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🏆 TOP RATED PLUS Data Expert | Top 3% on Upwork 💰 $600K+ earned | 16,000+ hours | 130+ clients served I am a Sr Data Engineer with expertise in developing robust AI Agents & Analytics layer. I bring over 8 years of hands-on experience with: - Building scalable ETL data pipelines that fetch raw data froms APIs and store it into data warehouses hosted over GCP/AWS (BigQuery | Snowflake | Redshift). - Developing Business Intelligence reports and dashboards using Data Studio (formerly Looker Studio), Metabase, Looker, Tableau etc. - Building powerful AI Agents using Gemini, Claude, OpenAI, Dialogflow. - Track user behaviour data using GA4 and Google Tag Manager. I’ve worked with 130+ clients across eCommerce (Shopify, WooCommerce), digital marketing & paid ads (Meta, Google Ads), mobile apps & gaming analytics, SaaS & web apps, and data-driven businesses in education, clean energy & media. 💡 What I do (End-to-End Ownership) 1. Data Engineering & Warehousing: - Build scalable, reliable data pipelines using BigQuery, Snowflake, Redshift, Python and APIs of data sources - Automated ETL (Airflow, APIs, Fivetran, custom Python scripts) - Single source of truth across marketing + product + revenue 2. Analytics & BI (Decision Systems, not just dashboards): - Executive dashboards (Looker, Data Studio (formerly Looker Studio), Metabase, Power BI, Tableau) - KPI frameworks aligned to revenue - Cohort, LTV, attribution & funnel analysis 3. Marketing & Web Tracking (Accuracy = $$$) - GA4, Google Tag Manager, Server-side tracking - Meta CAPI, Google Ads, TikTok tracking - Fix broken attribution & data loss 4. Generative AI & Automation - AI agents & workflows (OpenAI, Gemini, Claude) - Automate reporting, insights, and ops - Use AI where it actually improves ROI (not hype) 📈 Real Outcomes I’ve Delivered ✔ Built full marketing data warehouse → improved spend efficiency by 30%+ ✔ Fixed tracking & attribution → recovered lost revenue visibility ✔ Automated reporting → saved 20+ hrs/week for teams ✔ Delivered exec dashboards → faster, data-backed decisions 🧠 Why Clients Choose Me - I think like a business owner, not just an engineer - I focus on revenue impact, not vanity metrics - I handle end-to-end (tracking → pipelines → dashboards → insights) - Strong communication + fast execution (no hand-holding needed) 📈 My Tech Stack: - Business Intelligence & Data Visualisation: Google Data Studio (formerly Looker Studio) , Looker, Metabase, Power BI, Mode, Tableau, Databox, Zoho Analytics, DOMO, Google Sheets, etc. - AI: LLMs like OpenAI, ChatGPT, Gemini, Claude, DeepSeek, and GCP's services like Document AI, DialogFlow, CCAI, etc. - Engineering: SQL, Python, Airflow, APIs, Cloud Functions, Lambda Functions, Cloud Composer, Cloud Run - Data Warehouses: BigQuery, Redshift, MS SQL, MySQL, PostgreSQL, Snowflake, and Azure. - ETL & Webhook tools: n8n, Fivetran, Stitch, Windsor, Supermetrics, Power My Analytics, Saras Analytics, Zapier, Make, etc. - Tracking: Google Tag Manager, Google Analytics 4, Meta Ads Conversion API, Google Ads Conversion tracking, Stape, Server-side tracking. - Data Sources: Shopify, WooCommerce, BigCommerce, Meta Ads, Google Ads, TikTok Ads, Pinterest Ads, LinkedIn Ads, Apple Ads, Amazon Ads, Bing Ads, Google Analytics 4, Google Search Console, Google My Business, HubSpot, Active Campaign, PipeDrive, Facebook Page Insights, Instagram Insights, Stripe, SEMRush, MailChimp, Klaviyo, ClickUp, Ahref, etc. 👉 Let’s Work If you’re looking for someone who can own your entire data stack and turn it into a revenue engine, let’s talk. Click “Invite” and let’s discuss your use case 🚀 ----- 🔍 𝗞𝗘𝗬𝗪𝗢𝗥𝗗𝗦 GA4, Google Analytics 4, Google Tag Manager (GTM), Server-side Tracking, Meta Conversion API (CAPI), Google Ads Conversion Tracking, Marketing Attribution, BigQuery, Snowflake, Redshift, Data Warehouse, Big Data, Data Engineering, ETL, ELT, Data Pipelines, Apache Airflow, Airflow DAGs, PySpark, Spark, Databricks, SQL, Python, Advanced SQL, Data Modeling, Data Transformation, Data Architecture, Data Lakes, Data Studio, Looker Studio, Power BI, Tableau, Data Visualization, Dashboard Development, Business Intelligence (BI), KPI Dashboard, Reporting Automation, Shopify Analytics, WooCommerce Analytics, Marketing Analytics, Product Analytics, Funnel Analysis, Cohort Analysis, LTV Analysis, Retention Analysis, Generative AI, OpenAI, ChatGPT, Gemini, Claude, AI Agents, AI Automation, AI Agents, LLM Applications, n8n, Workflow Automation, No-code Automation, Low-code Automation, Zapier, Make (Integromat), API Integrations, Webhooks, Stripe, HubSpot, Google Ads, Meta Ads, TikTok Ads, LinkedIn Ads, Cloud Platforms (GCP, AWS), Cloud Functions, AWS Lambda, Data Orchestration

🚀 Helping Amazon & Ecommerce Brands Scale Through Automation & System Design 🚀 I work with established Amazon sellers, DTC brands, and agencies who’ve outgrown manual processes, fragile spreadsheets, and disconnected tools. My role isn’t just to “integrate an API” — it’s to design reliable systems that reduce operating costs, eliminate data blind spots, and support scale without chaos. What I Do Amazon Systems & Automation Design and implement productiongrade solutions using Amazon SPAPI for orders, inventory, settlements, reimbursements, and financial reconciliation Migrate legacy MWS workflows to modern, scalable SPAPI architectures Handle throttling, retries, rate limits, and longrunning pipelines correctly Advertising & Growth Data Integrate Amazon Ads API and Marketing Stream Unify PPC, sales, and financial data into a single source of truth Enable ROIdriven decision making, not vanity dashboards Omnichannel & BackOffice Integration Connect Amazon with Shopify, WooCommerce, ERPs, accounting tools, and BI systems Replace manual exports and reconciliations with automated, auditable workflows Problems I Help You Solve Fragmented systems that don’t talk to each other High operating costs caused by manual processes Inconsistent or unreliable Amazon data “Black box” integrations no one fully understands Scaling pain once you pass 6–7 figures in revenue I design systems that keep working as volume, regions, and complexity increase. How I Work Architecture first — process clarity before code Profitfocused — every automation must justify itself Productionready — logging, monitoring, retries, and failure handling included Collaborative — clear communication with founders, ops teams, and devs As a PII approved Amazon developer, I operate with enterpriselevel security and compliance from day one. Technical Scope Backend: Python, PHP (Laravel), Java (Spring Boot), Node.js, C Data: MySQL, Postgres, DynamoDB, Redshift, MongoDB, Redis Infrastructure: AWS, Docker, CI/CD (GitHub Actions, Jenkins) Integrations: Amazon SPAPI & Ads, Shopify, WooCommerce, Walmart, eBay, QuickBooks Tools are interchangeable — correct architecture is not. Client Feedback “Leo balances deep Amazon SPAPI expertise with real business understanding. Communication was clear, delivery was solid, and the system held up even as scope grew.” “Leopoldo provided expert guidance on SPAPI, answered complex questions clearly, and helped us move forward with confidence. Fivestar experience. ⏳ If You’re Scaling and Need Systems That Won’t Break — Let’s Talk ⏳ Whether you need a full architecture, a migration, or a second opinion, I can help you move forward with clarity and confidence.

You probably think clicking "deploy" on Databricks from the cloud marketplace is all it takes to build a modern data stack. Instead, you get unmanageable infrastructure, skyrocketing costs, and pipelines feeding reports nobody trusts. 𝗜 𝗳𝗶𝘅 𝘁𝗵𝗮𝘁. 𝗡𝗼 𝗮𝗴𝗲𝗻𝗰𝗶𝗲𝘀, 𝗻𝗼 𝗯𝗹𝗼𝗮𝘁. Just a multi-certified, 5+ years of experience Cloud Solutions Architect building automated, high-integrity platforms that turn raw data into a competitive advantage. If you shoot me a invitation or message I'll send you a personalized Loom video back on how I may be able to help you; and of course, to prove that I'm the real deal, 𝗻𝗼 𝗔𝗜 𝗶𝗻𝘃𝗼𝗹𝘃𝗲𝗱! Whether you are building a greenfield lakehouse from scratch or migrating legacy systems to the cloud, I architect efficient, cost-effective environments that scale without the overhead. I understand the business bottom line just as well as the underlying code. ✪ 100% Job Success Score | 5.0★ average ✪ Proven experience on multi-cloud architectures 💡 𝗪𝗵𝗮𝘁 𝗜 𝗱𝗼: • 𝗗𝗮𝘁𝗮 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: I build production-ready environments using Terraform. No manual marketplace or standard deployments that break at scale. • 𝗥𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: Raw data becomes actionable. I build resilient Medallion architectures and automated ETL/ELT pipelines so your stakeholders actually trust the numbers. • 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗠𝗟𝗢𝗽𝘀: I bridge the gap between data engineering and machine learning. Using MLflow and Databricks Model Serving, I operationalize models into scalable, real-time REST endpoints and automated streaming inference pipelines. • 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 & 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆: Proper data governance utilizing Unity Catalog (no legacy Hive metastores) to ensure your data is accessible, secure, and future-proof. • 𝗖𝗹𝗼𝘂𝗱 𝗖𝗼𝘀𝘁 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Most companies overspend on cloud infrastructure. I architect systems that pay for themselves in weeks by eliminating overhead and inefficiencies with efficient auditing and monitoring features. ✅ 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 (𝘃𝗲𝗿𝗶𝗳𝗶𝗲𝗱): • Databricks Professional Data Engineer • Databricks Associate Data Engineer • Databricks Lakehouse Fundamentals • GCP Professional Data Engineer • GCP Associate Cloud Engineer • GCP Cloud Digital Leader • AWS Associate Solutions Architect • AWS Cloud Practitioner 🔧 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝘄𝗶𝘁𝗵 𝗖𝗹𝗼𝘂𝗱 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀: • 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀: Workflows, LDP (Lakeflow Declarative Pipelines), Unity Catalog, Workflows, Databricks SQL, MLFlow. • 𝗔𝗺𝗮𝘇𝗼𝗻 𝗪𝗲𝗯 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 (𝗔𝗪𝗦): EMR, Athena, Redshift, Glue, S3, RDS, Kinesis Data Firehose, Kinesis, and Data Streams. • 𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗹𝗼𝘂𝗱 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 (𝗚𝗖𝗣): Bigquery, Dataform, Composer, Dataflow, Dataproc, Cloud Storage, Pub/Sub, Cloud Functions, and Looker Studio. • 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗔𝘇𝘂𝗿𝗲: Data Factory, Synapse, and Storage Account. • 𝗢𝘁𝗵𝗲𝗿𝘀: Terraform, dbt, Airflow, Airbyte, Hadoop, and Hive. ⚙️ 𝗖𝗼𝗿𝗲 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: • 𝗥𝗼𝗹𝗲𝘀: Data Architect, Data Engineer, Solutions Architect, Platform Engineer • 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀: Databricks (Delta Lake, Unity Catalog, Lakeflow, Workflows), BigQuery • 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲: Infrastructure as Code (IaC), Terraform, Multi-Cloud (AWS, GCP, Azure) • 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲: Medallion Architecture, Data Lakehouse, Data Governance, Data Quality, Machine Learning • 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: PySpark, Python, SQL, dbt, Apache Airflow, ETL/ELT, CDC, Batch and Stream Processing

Most data pipelines don’t fail because of code. They fail because they weren't built for scale. With 8+ years of experience engineering data systems at companies like Microsoft and Coreweave, I help businesses move away from "brittle prototypes" to production-grade, scalable infrastructure. I don’t just move data; I build the "Source of Truth" that leadership and AI systems actually trust. 💬What I Solve for You: Productionizing AI Pipelines: Hardening Python prototypes into scalable RAG and LLM infrastructures (AWS/Azure). ➔Infrastructure-as-Code: Building automated, modular ETL/ELT pipelines that don't require daily manual fixes. ➔The "One-Source" Dashboard: Integrating messy data from APIs, SaaS (Shopify, HubSpot), and DBs into clean Snowflake/BigQuery layers. ➔Performance Recovery: Optimizing slow SQL queries and high-cost cloud warehouses to save you thousands in monthly spend. 🛠 Tech Stack: Languages: Python (FastAPI, Pandas, PySpark), SQL Cloud & Warehousing: AWS (Glue, Lambda, S3), Snowflake, BigQuery, Azure Orchestration: Airflow, dbt, GitHub Actions Data Ops: API Integrations, Vector DBs, Data Validation ✅ Why Me? 8+ Years Experience: I’ve seen what breaks at the enterprise level and how to prevent it in your startup. Speed over Perfection: I focus on shipping high-impact systems that drive revenue, not just technical documentation. Transparent Communication: You get regular updates and a partner who challenges requirements to find better solutions. Ready to clean up your data debt? 📩 Message me for a FREE 15-minute technical consultation. Let’s discuss your architecture and see if I’m the right fit for your system.

AI Agent Architect | Claude Code | AWS Bedrock | LangGraph | n8n | RAG | Full Stack AI Systems I build production-grade AI systems, autonomous agents, and enterprise SaaS platforms that integrate deeply with real business operations. Over the last 11+ years, I've worked as a Software Engineer, Team Lead, CTO, and AI Architect, helping startups and enterprises design, build, deploy, and scale cloud-native products across AI, FinTech, Analytics, Media, eCommerce, and Enterprise SaaS. My focus today is building AI-native systems that move beyond simple chatbot experiences and become reliable business operators capable of reasoning, planning, executing tasks, and integrating with enterprise workflows. ━━━━━━━━━━━━━━━━━━━━━━ AI Agents & Agentic Systems I design and build production-ready AI agents capable of: • Autonomous decision making • Multi-step reasoning and execution • Tool calling and API orchestration • Multi-agent collaboration • Planner → Supervisor → Worker architectures • Long-term memory and contextual learning • Human-in-the-loop workflows • Event-driven automation systems • Enterprise knowledge retrieval • Agent evaluation and reliability testing Technologies: • Claude API (Anthropic) • OpenAI GPT-4o / Realtime API • AWS Bedrock • LangGraph • LangChain • MCP (Model Context Protocol) • CrewAI • Vector Databases • Knowledge Graphs Recent implementations include: • Financial Intelligence Agents • Company Research Agents • B2B Outreach Agents • AI Website Builders • AI Content Generation Systems • Customer Support Agents • Voice AI Agents • Enterprise Document Intelligence Platforms ━━━━━━━━━━━━━━━━━━━━━━ Retrieval-Augmented Generation (RAG) I build enterprise-grade RAG architectures designed for accuracy, traceability, and scalability. Capabilities: • Enterprise document ingestion pipelines • PDF, DOCX, HTML, Database ingestion • Chunking and embedding optimization • Hybrid retrieval architectures • Metadata filtering • Re-ranking pipelines • Knowledge graph integration • Hallucination reduction • Citation and provenance systems • Multi-tenant knowledge bases Vector Technologies: • Pinecone • OpenSearch • ElasticSearch • pgvector • Weaviate • FAISS • Supabase Vector Recent projects include enterprise document intelligence platforms and governed reasoning systems for business-critical workflows. ━━━━━━━━━━━━━━━━━━━━━━ n8n & Workflow Automation I build advanced automation systems using n8n that combine deterministic workflows with LLM reasoning. Capabilities: • AI-powered workflow orchestration • Agent-driven automation pipelines • Human approval workflows • Event-driven architecture • Queue-based processing • Retry-safe workflows • Background job processing • Cross-platform integrations • Multi-step decision engines Integrations: • Slack • Google Workspace • Microsoft 365 • HubSpot • Salesforce • Stripe • Twilio • Airtable • Notion • Internal APIs ━━━━━━━━━━━━━━━━━━━━━━ Voice AI & Conversational Systems Design and implementation of production-ready voice agents using: • Twilio Voice • OpenAI Realtime API • Claude-powered reasoning • AWS Transcribe • Whisper • ElevenLabs • Stateful conversation engines • Automated call summaries • CRM integrations Use Cases: • Appointment Booking • Lead Qualification • Customer Support • Sales Outreach • Reservation Systems • Internal Operations ━━━━━━━━━━━━━━━━━━━━━━ AWS Cloud & AI Infrastructure Strong background designing cloud-native AI platforms on AWS. Core Services: • AWS Bedrock • Lambda • ECS • EC2 • API Gateway • SQS • SNS • EventBridge • DynamoDB • Aurora • PostgreSQL • S3 • CloudFront • CloudWatch • Step Functions Infrastructure: • Terraform • CloudFormation • Docker • Kubernetes • CI/CD Pipelines • Multi-Tenant SaaS Architectures ━━━━━━━━━━━━━━━━━━━━━━ Full Stack AI Product Development Frontend: • React • Next.js • TypeScript Backend: • Node.js • Express • NestJS • Python • FastAPI Databases: • PostgreSQL • MySQL • MongoDB • DynamoDB • Redis ━━━━━━━━━━━━━━━━━━━━━━ Industries Served • FinTech • Enterprise SaaS • LegalTech • Healthcare • Media & Broadcasting • Crypto & Blockchain • Analytics Platforms • Marketing Automation • Cloud Infrastructure ━━━━━━━━━━━━━━━━━━━━━━ What Clients Typically Hire Me For ✓ Multi-Agent Systems ✓ Claude & AWS Bedrock Development ✓ Enterprise RAG Platforms ✓ n8n AI Automation ✓ AI SaaS Products ✓ Voice AI Agents ✓ Workflow Orchestration ✓ AI Architecture Reviews ✓ AWS Cloud Architecture ✓ Production Launches & Scaling If you're building an AI product and need someone who understands both agentic AI and production-grade software architecture, I can help design, build, deploy, and scale the entire system. ✓ Claude Code & OpenAI GPT-4o ✓ Multi-Agent Systems ✓ LangGraph & RAG Pipelines ✓ n8n & Workflow Automation ✓ Voice AI (Twilio, ElevenLabs) ✓ Node.js, React & AWS Bedrock ✓ Stripe, SaaS & Enterprise Integrations ✓ AI Agents for Finance, Legal, Healthcare & Op

I’ve built 70+ custom Amazon seller tools (including sellerbot, seller-shark, sellerfuse, sellerwiz) over 7+ years — from real-time analytics dashboards and automated repricing engines to PPC campaign managers and Keepa-powered product research platforms. I specialize in Amazon SP-API, Advertising API, and Keepa API integration, helping Amazon sellers, agencies, and SaaS startups turn complex marketplace data into automated, scalable software. What I build: • Custom Amazon Seller Dashboards((including sellerbot, seller-shark, sellerfuse, sellerwiz) — profit tracking, inventory monitoring, sales analytics with real-time SP-API data • FBA/FBM Automation — repricing engines, inventory alerts, order management, multi-channel sync • Amazon PPC Tools — Ads API integration, keyword automation, bid optimization, campaign performance tracking • Keepa API Integration — price history tracking, sales rank analysis, deal alerts, historical data dashboards • Multi-tenant SaaS Platforms — white-label Amazon tools for agencies, Chrome extensions, and MWS-to-SP-API migrations My stack: PHP (Laravel), Python (FastAPI/Flask), Node.js on the backend. React and JavaScript on the frontend. MySQL, PostgreSQL, and MongoDB for data. AWS (Lambda, S3, RDS, EC2) for cloud infrastructure. I’ve integrated 100+ APIs across e-commerce, payment, shipping, and CRM platforms. Recent project highlights: • Built a reporting Dashboard handling 50K+ SKUs with real-time SP-API data sync • Developed a Keepa-powered product research platform used by 200+ Amazon sellers • Reduced manual reporting time by 80% with automated SP-API dashboards for Amazon sellers Whether you need a complete SaaS platform, a single API integration, or a full MWS-to-SP-API migration, message me with your requirements and I’ll respond within a few hours with a clear plan and timeline.