I help eCommerce and subscription brands grow faster with better data. I design full-stack reporting systems that track LTV, optimize marketing spend, and accelerate split test decisions. Tools I work with daily: BigQuery, GA4, dbt, Looker Studio, Google Sheets. I specialize in building clean, scalable analytics environments — turning raw Shopify, Recharge, GA4, and CRM data into actionable dashboards and predictive models. Recent work includes: Split test reporting systems (BigQuery to Google Sheets, GA4-style event tracking) Customer LTV and CAC forecasting models Subscription churn and cohort retention dashboards Revenue impact tracking from acquisition channel through lifetime value Attribution pipelines that bridge Meta Ads, Google Ads, and first-party data Whether you need to architect a new data warehouse from scratch, fix broken reporting foundations, or drive faster growth experimentation, I can help deliver systems that leadership teams rely on — not just prettier charts.

I’m passionate about combining Data Engineering, AI & Dashboards Design Science to help people make great decisions. Through thoughtful design, including UI & UX, and precise data analysis, I connect how data looks with how it works. With over six years of experience in behavioral data analysis and storytelling, I’ve consistently delivered impactful solutions. Recently, I’ve received over 50 ⭐️⭐️⭐️⭐️⭐️ ratings for my work in data visualization. My expertise is in Data Engineering, Analysis, Visualization, Storytelling, and Infographics. I focus on promoting a data-driven culture in companies around the world by upholding the principles of Graphical Excellence, as championed by Tufte. My motto is - data never lies. 🤘 SORRY FOR THE LONG TEXT BELOW, BUT I NEED THIS SECTION OF MY PROFILE TO HELP ME STAND OUT ON UPWORK. ✌️😃🤷‍♂️ Here's a list of my preferred tools, categorized by their respective functions: Dashboarding: Power BI ( including pbiviz), powerbi Looker, Looker BI, Looker Enterprise, Looker Pro, Google Data Studio, Looker Data Studio, Tableau, ThoughtSpot (Thought Spot), Metabase, Domo Dashboards (domo com), Superset Apache, Plotly, Plotly Dash, Plotly Dash Enterprise, Dash Enterprise, D3.js, Aesthetic dashboards TOP Niche Expertise: Ecommerce: shopify, bigcommerce Construction (buildertrend, builder trend) Hyros, triple whale Stripe, Rebilly, Chargebee GA4 (Google Analytics 4), Bullhorn, Sage, Microsoft Dynamics CRM (BI graphs), Exact com/ Exact ERP, Multi-Tenant BI Solution / Multi-Tenant Dashboards, AI ( Artificial Intelligence, A.I.). Data Warehousing: Google BigQuery, Amazon Redshift, Redshift Snowflake, Microsoft Azure Synapse Analytics, Data Modeling: dbt (Data Build Tool), SQL Server Data Tools (SSDT), Python. Additional tags: SSRS report, Data Analysis Expressions (DAX), Revenue Operations, Microsoft Azure SQL Server, web3, business intelligence, Software as a service (SaaS), Microsoft Graph API, coaching, data science, Microsoft Power BI, Looker Studio, Excel, Tableau Alteryx, Inc.Database, Data Analysis, Google Analytics, Dashboard, Data Analysis, A/B Testing, Data Visualization, Google Analytics, Marketing Analytics, Analytics, API Integration, JavaScript, Tableau, Microsoft Excel, Python, Data Analysis, Data Science, Statistics, Business Intelligence, PowerBI, Training & Development, API integration, Customer Relationship Management (CRm), CRM, Zoho CRM, API Integration Digital Mapping, AnyLogic, Looker Studio, Data Visualization, App Store, BigQuery, Marketing Analytics, Ad analytics, CRM, prometheus io, Microsoft Graph API, SAP, SAP Analytics, sap analytics cloud, Oracle BI, multi-tenant, multi-tenant Dashboards, multi-tenancy, Microsoft Power Apps, Power Query, LookML, IBM Cognos Analytics, SaaS, SEMrush, Python, Supermetrics, NetSuite, Oracle NetSuite, Qlik Sense, QlikView, Gaming, Behavioral analytics, events analytics, ETL Pipeline, quantitative analyst, quantitative analytics, Bullhorn, pbiviz, LMS, MicroStrategy, Micro Strategy, construction, eNPS, NPS, green energy, Excel, Hadoop, Thoughtspot, AI, artificial intelligence, KPIs, data science, behavior, Spark, Hadoop, Python, Zoho, Problem-Solving Abilities, Strong analytical skills, NetSuite, NS, Sisense, Cognos, Power apps, Powerapps, Amazon Quicksight, QuickSight, IBM Z platform, Cognos, DB2, Luzmo, CRMA, CRMA Analytics Salesforce, Holistics io, Holistic io, Loki, Prometheus, BI meta-data management, Microsoft Power BI Data Visualization, Oracle, Sigma, Sigma Computing, US, USA, PL/SQL, Oracle PL/SQL, dbt, looker ML, construction, Archdesk, Archdesk ERP, Apache Airflow, Flask, Django, Docker, Apache Spark, SAP Crystal Reports, Open AI, ChatGPT, Chat GPT, AWS, Claude, Bedrock, Paycor, BambooHR, Workday, Zenefits, ClickUp, AI, Artificial intelligence, ClickHouse, Click House, ROAS, ROMI, Domo, Gooddata, Good Data, Omni, Omni Analytics, Oracle Hyperion, power bi embedded, embedded analytics, databox, Row Zero, local LLM deployment, LLM (large language model), filevine, data lake, data warehouse, hubspot, Knowi, Fivetran, Airbyte, CDP, Bayesian Analysis, Predictive Analytics, Dremio, Apache Ozone, Looker Core, Copilot, Tibco Spotfire, React, AI/LLM, charts io, PostgreSQL, React.js, AI-driven, Python, healthcare, gooddata, good data, NetSuite Commerce, NetSuite, Domo, OpenAI, power apps, Interactive Data Visualization, Data Visualization Framework, looker ml, observable, UX/UI design, Xero, QuickBooks, Intuit, Sage, RevOps, revenue operations, Power BI, Microsoft Power BI, Tableau, google analytics, GA4, looker studio, shopify, triple whale, Buildertrend, Go High Level, GoHighLevel, dashboards design, ThoughtSpot, SaaS, Spotfire, Power BI Report Server, flourish, copiliot studio, Palantir, Palantir Foundry, Palantir Gotham, Palantir Apollo, Workday Adaptive Planning, Snowflake Native App, revops, australia, Forward Deployed Engineer (FDE), AI automation

⭐⭐⭐⭐⭐ 5.00 across 200+ Jobs🥇𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗼𝗻 𝗧𝗮𝗯𝗹𝗲𝗮𝘂 (𝗗𝗲𝘀𝗸𝘁𝗼𝗽 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘀𝘁) 🥇𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗼𝗻 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 (𝗣𝗟𝟯𝟬𝟬 💎 Top Rated PLUS, Trusted by 200+ clients, 9800 + 🅷🅾🆄🆁🆂 worked, )High-quality outcomes & your trusted companion for the long-term data journey. 12+ Yrs of immense ex 🏅 Top 1% of Tableau Developers 🏅 Top 1% of PowerBI Developers 🏅 Top 1% of Sigma computing Developers Open for a long-term opportunity 15+ years of immense experience in building 200+ solutions and implementing in QlikView Domo, Klipfolio, and Tableau, Power BI projects single-handedly. I also have sound knowledge of ETL, Datamining, data fetching, Oracle database, Google Analytics, Social media analytics. I am also Tableau sales accreditation certified and attended tableau basic and advanced paid training certification as well. I also have snowflake core certification, and also Klipfolio certified expert, please visit my certification section for more info. Skillset: ✅ Tableau ✅ Klipfolio ✅ Qlikview ✅ Domo ✅ Google data studio ✅ Sisense ✅ Looker ✅ Power BI ✅ Click data ✅ AWS Quick sight ✅ Google analytics ✅ Tealium ✅ Airtable ETL Tools: ✅ Azure DataFactory ✅ AWS Glue ✅ Alteryx ✅ Integromat/Make ✅ Knime ✅ Power Automate Databases: ✅ SQL Server ✅ Oracle ✅ Hadoop impala/hive ✅ Mongo DB ✅ Postgres Sql ✅ Snowflake/Amazaon RDS 💎 Top Rated PLUS | 🕐 Fast Turnaround 🌟WHY CHOOSE ME OVER OTHER FREELANCERS? 🌟 ✅ Client Reviews ✅ Communication ✅ Mastery 🟢 GO GREEN 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸🟢 Cloud: Azure (Data Factory, Synapse, Fabric), GCP (BigQuery, Dataflow), AWS Languages: Python, SQL, R, Scala, DAX, JavaScript Orchestration: Airflow, dbt, Prefect, Kafka, CI/CD, Git BI: Power BI, Looker Studio, Tableau, QlikView, Excel/Power Pivot AI/Automation: Clawdbot, Moltbolt, Openclaw, LangChain, n8n, Make, Zapier, Pinecone CERTIFICATIONS 🏅 Tableau Desktop Specialist Certified 🏅 Tealium Specialist Certified 🏅 Microsoft Certified: Power BI Data Analyst 🏅 Google Data Studio Certified 🏅 Alteryx Designer certified 🏅 Microsoft Certified Professional (MCP SQL) 🏅 Excel and Spreadsheets Expert 🏅 Zoho and Looker Expert 🏅 D365 CRM and SharePoint Expert 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 𝗜'𝘃𝗲 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝗲𝗱: - Engineered ETL pipelines processing 50M+ events/day across GCP, Snowflake, and BigQuery - Delivered a $47K enterprise AI + web application rated elite by the client - Replaced manual reporting workflows saving teams 20+ hours per week - Scaled Power BI datasets from thousands to 10M+ rows without performance loss - Built AI document parsing systems handling enterprise-grade extraction and classification - Designed Snowflake data warehouses with optimized dimensional models for executive reporting 𝗣𝗶𝗹𝗹𝗮𝗿 𝟭: 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 ETL/ELT architecture, real-time ingestion, CDC patterns, incremental loads, and warehouse modeling. I work across Snowflake, BigQuery, Databricks, Azure Data Factory, dbt, Airflow, and Kafka. Clean data contracts, reliable refreshes, and systems your team can maintain. 𝗣𝗶𝗹𝗹𝗮𝗿 𝟮: 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀 (𝗔𝗟𝗟 𝗧𝗼𝗼𝗹𝘀) Power BI (semantic models, DAX, embedded analytics, Power BI Service, Fabric), Looker Studio, Tableau, QlikView, and Excel/Power Pivot. From KPI frameworks and dimensional modeling to real-time executive dashboards I build reports that are fast, accurate, and aligned to decisions. Performance tuning for slow or bloated reports is a core specialty. 𝗣𝗶𝗹𝗹𝗮𝗿 𝟯: 𝗔𝗜, 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 & 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 Production-grade LLM integration using Clawdbot, Moltbolt, Openclaw, LangChain, and RAG architectures. Custom AI agents with guardrails, human-in-the-loop controls, and monitoring for enterprise safety. Workflow automation through n8n, Make, Zapier, Langflow, Flowise, and SimStudio — connecting AI to your CRM, ticketing, email, Slack, and internal systems with role-based access and audit trails. Typical AI deployments: AI support agents, document intelligence pipelines, internal ops copilots, knowledge search with permissions, and intelligent lead qualification systems. 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀: Healthcare (EHR, operational analytics, HIPAA-compliant reporting) Finance & Enterprise (P&L, KPI dashboards, multi-source consolidation) SaaS & Startups (product analytics, embedded BI, growth pipelines) 𝗠𝘆 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵: Every engagement starts with a short audit current-state review, data access, KPI definitions, and a milestone delivery plan with clear timelines. Then we build in iteration cycles with hardening, documentation, and handover so your team owns the system when I'm done. I always leave things better than I found them. Proper data models, clean logic, version-controlled code, and documentation your team can actually work with. Have a project in mind? Click "Invite to Job" let's talk.

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.

𝗜 𝗱𝗲𝘀𝗶𝗴𝗻 𝗲𝗻𝗱-𝘁𝗼-𝗲𝗻𝗱 𝗱𝗮𝘁𝗮 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗮𝘁 𝘂𝗻𝗶𝗳𝘆 𝗳𝗿𝗮𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗶𝗻𝘁𝗼 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲, 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻-𝗴𝗿𝗮𝗱𝗲 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲. Whether you are battling 12-hour query runtimes, migrating legacy silos, or building an AI-ready data lakehouse, I provide the architectural strategy and engineering rigor required to scale. With 20+ years of experience delivering high-stakes production systems for global brands like Apple, Overstock, and Medline, I move beyond task-based support to own your technical roadmap. As the Managing Director of ADLAB Solutions, I lead a vetted engineering bench capable of scaling delivery across Data Engineering, AI/ML, and UI/UX—ensuring your stack remains a growth driver, not a bottleneck. ──────────────────────────── 📊 THE IMPACT (By the Numbers) • 1B+ Rows modeled cleanly with 99.9% pipeline uptime. • 35% Avg. Reduction in Snowflake/Cloud compute costs through refactoring. • 150+ Dashboards delivered with 70% latency improvement. • 30+ Hours/Week saved per client through metadata-driven automation. ──────────────────────────── 🛠️ ARCHITECTURAL FOCUS AREAS • Warehouse Modernization & Migrations: Specialized in Teradata/SQL Server → Snowflake, BigQuery, or Fabric. I focus on zero-downtime cutovers and "Set-Based" design to maximize cloud-native performance. • Metadata-Driven ELT/ETL Pipelines: Building idempotent, self-healing pipelines (dbt, Airflow, Matillion, ADF). I design systems that handle schema drift automatically to protect downstream AI and BI models. • AI & Agentic Data Foundations: Architecting semantic layers for Snowflake Cortex, RAG-powered knowledge assistants, and predictive "Nowcasting" systems that combine high-frequency signals with broad benchmarks. • Analytics Engineering & BI Governance: Shipping governed Power BI, Tableau, and Sigma environments. I fix the "Broken Trust" in numbers by implementing Row-Level Security (RLS) and centralized metrics definitions. • Real-Time & Managed Services: CDC patterns for sub-minute freshness (Kafka, GoldenGate) and ongoing SLA-based infrastructure monitoring and administration. ──────────────────────────── 🎯 TRUSTED BY Apple • Teradata • Medline • Overstock • Bed Bath & Beyond • Salt Lake Bees • Poppi • Utah Jazz ──────────────────────────── ✅ THE ADLAB ADVANTAGE • Enterprise Governance: Experienced with remote workstations (VDI), M365/Google security protocols, and HIPAA/regulated environments. • Strategic Roadmap: I identify technical debt and map a cost-efficient architecture. • Managed Delivery: My team executes the build with senior-level oversight. 𝗜𝗳 𝘆𝗼𝘂𝗿 𝗱𝗮𝘁𝗮 𝘀𝘁𝗮𝗰𝗸 𝗶𝘀 𝗳𝗮𝗶𝗹𝗶𝗻𝗴 (𝘂𝗻𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝗿𝗲𝗽𝗼𝗿𝘁𝘀, 𝘀𝘁𝘂𝗰𝗸 𝗺𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀, 𝗼𝗿 𝗿𝘂𝗻𝗮𝘄𝗮𝘆 𝗰𝗹𝗼𝘂𝗱 𝗰𝗼𝘀𝘁𝘀), 𝘀𝗲𝗻𝗱 𝗺𝗲 𝘁𝗵𝗲 𝗱𝗲𝘁𝗮𝗶𝗹𝘀. 𝗜’𝗹𝗹 𝗽𝗿𝗼𝘃𝗶𝗱𝗲 𝗮 𝗯𝗿𝗶𝗲𝗳 𝗿𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗮𝗻𝗱 𝘁𝗲𝗹𝗹 𝘆𝗼𝘂 𝗲𝘅𝗮𝗰𝘁𝗹𝘆 𝗵𝗼𝘄 𝘄𝗲’𝗹𝗹 𝗳𝗶𝘅 𝗶𝘁.

Most analytics setups look fine on the surface - until attribution breaks, funnel numbers don't add up, or your CDP is pushing dirty data downstream. That's where I come in. I'm a data architect with 20 years of engineering experience, the last 8+ years focused on product and marketing analytics. 50+ projects delivered for SaaS, eCommerce, healthcare, and fintech companies across the US and Europe. What sets me apart: I built a product analytics platform, as head of engineering. Most consultants have used these tools - I've built one. I know exactly what breaks under the hood and how to fix it fast. GA4 Certified | Segment Certified | Anthropic Partner | MBA, Vanderbilt University (US) WHAT I WORK ON: Server-side tracking: Server GTM, Stape, Meta CAPI, custom domain routing, first-party data collection, EMQ optimization, event deduplication - including regulated and compliance-sensitive environments Analytics implementation & migration: GA4, Amplitude, Mixpanel, PostHog, Heap - clean setups and messy migrations both CDP setup & optimization: Segment, Rudderstack, mParticle - identity resolution, reverse ETL, audience syncs, warehouse-first architectures Marketing attribution: multi-touch, ROAS, offline conversions, Meta CAPI, Google Enhanced Conversions, ad platform integrations Subscription & revenue analytics: Stripe data normalization, cohort churn, MRR/ARR modeling, cash flow projections Data pipelines & warehouses: BigQuery, Snowflake, Redshift, dbt, Fivetran, Airbyte Dashboards & visualization: Looker Enterprise, Looker Studio, Power BI AI & Automation: - Agentic workflows built on Claude (Anthropic) - intent parsing, classification, voice transcription, AI-generated reports - Slack-native AI bots: natural language commands, task creation, daily digest generation across projects - RAG systems grounded in your business data - CRM & RevOps automation: deal creation, payment reconciliation, subscription lifecycle, attribution mapping (HubSpot, Salesforce, GoHighLevel) - Workflow orchestration: n8n (self-hosted + cloud), Make Zapier - connecting Slack, Jira, Stripe, ad platforms, warehouses - Data automation: Python DAGs on Airflow, API enrichment, web scraping, browser-based RPA - AI data readiness: audits and cleanup before AI adoption PROOF POINTS: - Raised Meta CAPI event match quality from 6 to 8 for a DTC brand via server-side GTM on Stape - Managed end-to-end data pipeline for a 3+ year engagement including Amazon DMS, dbt, Redshift, and Airflow DAGs - Built analytics infrastructure scaling to 10B+ events/month - Managed attribution dashboards tracking $1M+/month ad spend - Normalized messy Stripe subscription data for a B2C startup with non-standard billing logic and built full churn cohort analysis - Cleaned up a 900-event Segment implementation for a YC-backed Series B startup - Built a Slack-to-Jira agentic automation suite using Claude for intent parsing and voice transcription - task capture from 60 seconds to 5 If your tracking is broken, your data is messy, or your stack needs to scale - let's talk.

Senior Data Engineer and AI Engineer with 15+ years in data engineering, AI engineering, and cloud data platforms. I build production data pipelines, ETL workflows, LLM and RAG systems, and machine learning infrastructure on AWS, GCP, Azure, Snowflake, Databricks, and Apache Spark. Most of my data engineering work is end to end. I take a messy data problem, or an AI feature that "almost works," and turn it into something reliable that runs in production without someone babysitting it. After 15+ years as a data engineer, you learn the hard part is rarely the model or the framework. It's the data, the edge cases, the pipelines, and keeping the system maintainable once you've handed it over. As an AI engineer I treat LLM and RAG work the same way: take a prototype that almost holds together and make it a production AI system that survives real traffic, real users, and real data. Recent data engineering and AI engineering projects: - An AI inbound phone system built on Twilio with OpenAI Whisper and GPT-4, handling real-time voice intake and call routing. - Enterprise Power BI data models for healthcare and financial reporting, around 30 tables and 40+ DAX measures, including IFRS 9 staging, RAROC, and NIM trends. - HL7 FHIR R4 integrations with Epic, Cerner, and Athenahealth for a clinical AI platform. - Cut LLM inference cost on a high-volume voice product by 25% by reworking how it used the OpenAI Realtime API and its per-turn token replay. Data engineering: Apache Spark, PySpark, dbt, Apache Airflow, ETL and ELT pipelines, data warehousing, data modeling, Snowflake, BigQuery, Redshift, Databricks, Delta Lake, Kafka, Kinesis, Fivetran. AI engineering and machine learning: OpenAI GPT-4o, Claude, Gemini, LangChain, LlamaIndex, RAG pipelines, AI agents, prompt engineering, vector search (Pinecone, Weaviate, pgvector), PyTorch, TensorFlow, scikit-learn, MLflow, model deployment. Cloud and DevOps: AWS (Glue, EMR, Lambda, Redshift, SageMaker, Athena), GCP (BigQuery, Dataflow, Vertex AI), Azure (Synapse, Data Factory, Azure ML), Terraform, Docker, Kubernetes, GitHub Actions. Automation and integration: n8n, Make, Power Automate, REST and GraphQL APIs. Governance and compliance: GDPR, HIPAA, SOC 2, RBAC, PII masking, encryption, data lineage. Languages: Python, SQL, Scala, PySpark, FastAPI, Flask. How I work: I'd rather ask the right questions up front than build the wrong thing quickly. I'll tell you when something is a bad idea, give you timelines I can keep, and leave you with code and documentation your own team can maintain. I've delivered data engineering and AI engineering projects for startups and enterprises across the US, Europe, and Asia. If you're looking to hire a data engineer or AI engineer who can own the work end to end, from raw data pipeline to production AI system, I'm available now. Tell me what you're building and I'll give you a straight answer on how I'd approach it.

Lead data engineer with product analytics and data science background, having worked with Fortune 500 companies (Procter & Gamble, Merck, Anheuser-Busch), as well as top-notch data-driven startups. Skilled in translating complex business problems into data solutions, designing data pipelines, providing high-quality data for data-driven insights and decision-making, as well as building KPIs, conducting statistical analyses, and creating impactful visualizations. Problems I'm good at solving: • Data Warehousing and Analytics • ETL / ELT data pipelines • SQL query tuning • Data Modeling and Database Design • Reporting • Data Analysis • Data Cleaning, Pre-Processing • Data Visualization • NLP problems I have a bachelor's in engineering from the top LATAM university (Universidade de São Paulo) with a track record of supporting organizations across various industries, including remote hiring, real estate, and consumer goods. Skills and Expertise ✅ SQL ✅ Python Databases ✅ Snowflake ✅ Redshift ✅ BigQuery ✅ Athena ✅ Trino ✅ Postgres ✅ MySQL Big Data Cloud Technologies ✅ Amazon Web Services – AWS Certified (Redshift, Athena, S3, Lambda, Glue ...) ✅ Google Cloud Platform Other Data Engineering Tools ✅ dbt ✅ Airflow ✅ Fivetran ✅ Git, Gitlab, and Github ✅ Rundeck ✅ Docker Data Visualization ✅ Looker (LookML Expert) ✅ PowerBI ✅ Metabase ✅ Looker Studio (Data Studio) ✅ Sigma ✅ Hex Data Science and Machine Learning ✅ Sci-kit learn, pandas, etc ✅ NLP analysis ✅ Spark ✅ Databricks ✅ Hex ✅ Jupyter Notebooks User Behavioral Analytics ✅ Snowplow ✅ Indicative ✅ Heap ✅ Amplitude ✅ Google Analytics

I help companies turn raw data into actionable insights and optimize workflows using modern analytics systems, data pipelines, dashboards, and AI integrations to make decision-making faster, more reliable, and efficient. Many teams struggle with fragmented data, slow reporting, and inconsistent metrics across spreadsheets, CRMs, and SaaS platforms. Reporting and analytics become manual, error-prone, and time-consuming, and AI initiatives often fail due to poor data foundations. I solve these challenges by building end-to-end data and analytics systems that streamline workflows, unify metrics, and deliver insights leadership teams can trust. 📊My Services / Deliverables: • Business Intelligence Real-time insights into revenue, operations, and KPIs that leadership teams can rely on. • Data Infrastructure and Modeling Bring together data from CRMs, SaaS, Marketing, Ecommerce and other platforms into a unified data foundation while resolving modeling challenges such as data validation, enrichment, error handling, multi-source attribution, identity resolution and inconsistent metrics. • AI-Powered Analytics Leverage Generative AI and NLP to generate actionable insights, summarize data, detect anomalies, and interact with dashboards using natural language queries. • Workflow Automation Connect CRMs, ERPs, and SaaS tools with Power Automate, Zapier, n8n, or custom Python workflows to automate processes. • Data Pipelines and ETL Engineering Robust ETL/ELT pipelines that power dashboards, analytics, and AI workflows which scale as your data grows. 🛠️Core Skills & Tools: • BI & Visualization: Power BI, Tableau, Looker, Google Data Studio, Metabase • Data Engineering & Modeling: SQL, Python, dbt, Power Query, Tableau Prep, Azure Data Factory, Airflow • Data Platforms: Fabric, Azure Synapse, Snowflake, BigQuery, Redshift • Automation: Power Automate, Zapier, n8n, API integrations, custom Python • AI Integration: ML/AI pipelines, OpenAI API, Azure OpenAI I partner with organizations to streamline workflows, unify data, and deliver actionable insights that drive smarter decisions and measurable business value. Let’s connect to explore how your team can harness data, analytics, and automation to work faster and more efficiently.

I’m an ex-Shopify data scientist and analytics engineer with 6+ years of experience, currently working at CoinBase. At Shopify I worked on production-scale analytics systems across the data warehouse ecosystem; ingestion, storage, data modelling, and analytics. I now help businesses design and build data warehouses. I fix storage and ingestion issues, implement data governance, design and orchestrate data modeling, and build analytics workloads for your team. I mostly work in the Google ecosystem (GCS, BigQuery, Looker), but can use whatever platform your business needs (e.g., Databricks, Snowflake, Microsoft Azure, etc.) I have a Databricks certification, as well as have developed hundreds of dashboards across all the different platforms. Why clients hire me: ✅ Deep data platform knowledge (3 years at Shopify) ✅ Clear communication + Loom walkthroughs ✅ Fast turnaround with clean, documented work ✅ End-to-end expertise: tracking, data pipelines, and dashboards If you have a broken pipeline, or need one to be built, please reach out, I'd love to help.