Hire the Best Amazon Redshift Developers

🏆 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

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

I help startups and businesses build AI-powered SaaS platforms, marketplaces, and automation systems that reduce manual work and scale operations fast. I build production-ready web and mobile applications by combining 19+ years of hands-on development experience with AI-powered tools like Claude—shipping faster without compromising code quality, architecture, or UX. I also specialize in transforming outdated web apps into modern, AI-driven platforms with a clean, maintainable architecture so you’re not dependent on developers. for every small change. You’ll be able to handle minor updates yourself using AI tools like Codex or Claude. If you're looking for someone who understands both technology AND business outcomes, you're in the right place. 🚀 Core Expertise: AI-powered SaaS platforms Marketplace development (buyer/seller/admin systems) Business process automation Scalable backend architecture Custom dashboards & admin panels 🧠 How I Help You Whether you're launching an MVP or scaling an existing product, I can help you: ✅ Build your SaaS product from scratch ✅ Automate repetitive workflows using AI ✅ Develop secure and scalable backend systems ✅ Create seamless web & mobile applications ✅ Improve performance and reduce operational costs ⚙️ Tech Stack (Only What Matters) Mobile Application Development: We develop hybrid / cross-platform mobile applications using React Native CLI / EXPO, REDUX, and Flutter / Dart. PWA/progressive web application (React.js). Web Application Development: Full-Stack Development, Front-End Development, Back-End Development. MVP Development. SaaS development, Multitenancy Product Development. E-commerce & Social Media Websites. Front End Development: TypeScript, React.js, React remix, vite.js, Next.js, Vue.js, Nuxt.js, Tailwind CSS Back-end Development: Python (Django / flask / FastAPI), PHP (CodeIgniter / Laravel), Node.js (typescript), Express.js, Nest.js, fastify, Strapi Database: MongoDB, MySQL, PostgreSQL, SQLite, Amazon Redshift, MariaDB, AWS DynamoDB Tools & Technologies: Bitbucket, GitHub, Firebase, Websocket, Redis, Nginx, EC2, S3, RDS, and EBS (Elastic Block Store). 🤝 Let’s Work Together If you’re looking for: A reliable long-term developer Someone who understands business, not just code Fast execution with scalable architecture 👉 Let’s discuss your project. My experience spans various domains, as outlined below. 1. Asset management system: a web application and mobile applications for iOS and Android. 2. Location live tracking and WiFi data scanning: a web application and mobile applications for iOS and Android. 3. Habit-tracking mobile application for iOS and Android. 4. Retreat and hotel booking engine: Web Application. 5. Ticket booking system with live seat selection: web application. 6. Shipping container calculator: web application. 7. Job board mobile application and web application. 8. SaaS for hospital care and home care companies: web application and mobile application. 9. Courses booking system: A web and mobile application along with a scheduling system. E-Learning PWA: Learning languages and mobile app development. 10. SaaS for project management and task management. 11. Boutique hotel and retreat website designing. 12. Equipment rental e-commerce website development. 13. Event posting and chat system: mobile application development. 14. Development of a Bible reading mobile application with a subscription system, supporting Apple and Google Pay. 15. Dummy flight and hotel ticket booking website for visa applications. 16. SaaS for creating surveys and managing user responses. 17. Real estate website development with MLS grid integration. 18. SaaS for companies managing work assignments, customer invoicing, and task calendars. 19. Food delivery Mobile application. 20. Facebook Graph API, Instagram Graph API, Twitter API, and LinkedIn API data management. 21. Dating website development. 22. Classified listing website development. 23. Travel deals e-commerce website 24. Grocery delivery mobile application development. 25. E-commerce website for selling fine wines. 26. CV and resume creation web application. 27. Employee payroll management web application. 28. Loan management system web application. 29. scheduling system for booking home inspection appointments along with a payment gateway and connection with gohighlevel CRM. 30. revenue management system – pulls data from QuickBooks, the Mercury API and the Stripe API and calculates the revenue. 31. car and bike parts / equipment / marketplace / vendor-buyer concept. 32. SMS marketing system that is connected with Twilio 33. Developing an MVP using AI-based web application builders such as Lovable, Replit, Claude AI, Claude-assisted development and Cursor AI. Please send a message OR invite me to your job so we can schedule a Zoom meeting.

Amazon API & PPC automation expert Amazon SP-API, Vendor API, Business API, and Ads API with 100% Job Success, Top Rated status, $200K+ earned across 110 jobs (12,500+ hours). I build systems that run Amazon operations end to end, and increasingly wire them into Claude and AI agents so they don't just report they decide. Amazon SP-API (Seller Central) • Orders, inventory, and settlement sync across single and multi-account setups • Reimbursement automation catching lost/damaged inventory and fee errors Amazon owes you • FBA reporting, financial reconciliation, and Seller Central data pipelines • MWS-to-SP-API migrations for sellers still on legacy integrations Amazon Vendor API (Vendor Central) • Purchase order automation, shipment/ASN handling, and invoice reconciliation for 1P vendors • Vendor-side inventory and cost/price sync • Chargeback and deduction tracking to reduce revenue leakage Amazon Business API • B2B catalog, pricing, and quantity-discount integrations for Amazon Business sellers • Tax-exemption and business-customer order handling Amazon Ads API & PPC Automation • Sponsored Products, Sponsored Brands, and Sponsored Display campaign management • Automated bid management, keyword harvesting, and negative-keyword automation • ACOS/TACOS optimization and Amazon Marketing Stream (AMS) reporting pipelines • Daily/weekly performance dashboards pushed to Slack, Sheets, or a client dashboard automatically AI & Claude Integration • MCP (Model Context Protocol) servers that connect Amazon data directly to Claude for natural-language reporting and decision support • AI agents that monitor PPC spend, flag anomalies, and recommend or auto-execute bid changes • Claude/OpenAI-powered product research, listing optimization, and customer-question automation Background: AWS Certified Developer, Amazon Ads Advanced Certified, Amazon DSP Certified. 14+ years across .NET, Python, Node.js, and React, working with Amazon sellers, vendors, and agencies from single-account operations to multi-brand portfolios. If any part of your Amazon operation Seller, Vendor, Business, or Ads still needs a human to check it daily, let's fix that. #AmazonSPAPI #AmazonVendorAPI #AmazonBusinessAPI #AmazonAdsAPI #AmazonPPC #AmazonAdvertising #AmazonMWS #AmazonMarketingStream #AmazonMarketingCloud #SponsoredProducts #SponsoredBrands #SponsoredDisplay #ACOSOptimization #TACOSOptimization #BidOptimization #AmazonFBA #AmazonFBM #SellerCentralAutomation #VendorCentralAutomation #ReimbursementAutomation #InventoryManagement #OrderManagementSystem #EcommerceAutomation #APIIntegration #ClaudeAPI #MCPServer #AIAgents #WorkflowAutomation #n8n #AmazonSellerAutomation

I'm a results-driven Senior Data Engineer specializing in building cloud-native data pipelines and architectures that transform raw data into actionable business insights. With 100% job satisfaction and a 5-star rating, I deliver solutions that exceed expectations. What I Bring: Cloud Expertise: Azure, GCP, and AWS with deep experience in Databricks, BigQuery, and Data Factory Real-Time Processing: Built streaming pipelines reducing reporting latency from hours to minutes Enterprise Scale: Consolidated 50+ data sources, processed 100M+ daily transactions, and supported 1000+ users Architecture Design: Expert in Lakehouse, Medallion, and Star Schema implementations with strong data governance Proven Results: Reduced reporting latency by 98% through real-time pipeline optimization Improved query performance by 40% with strategic data modeling Achieved 35% increase in compliance reporting accuracy Delivered zero-downtime deployments with automated CI/CD I partner closely with stakeholders to understand business needs and deliver data solutions that drive decision-making. Whether it's building real-time analytics platforms, implementing data governance, or optimizing existing pipelines, I focus on scalable, maintainable solutions. Let's discuss how I can help transform your data into a strategic asset.

🚀 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.