You will get MCP server for your DTC warehouse — Claude and ChatGPT on real data
Project details
Plugged Claude or ChatGPT into your Shopify data and got confident hallucinations? Same root cause every time: the data underneath was never modelled for an LLM to query.
I build the warehouse + MCP server (Model Context Protocol — Anthropic's open standard, now adopted by OpenAI + Google) that sits between Shopify and your AI tools. Your team asks in plain English; Claude or ChatGPT answers from real numbers.
What's included:
• Shopify → BigQuery: full backfill + daily incremental, modelled into clean tables
• MCP server connected to your warehouse, ready for Claude or ChatGPT
• 5-10 canonical questions tested for accuracy ("which SKUs are at stockout risk?", "true margin by channel?", "Q2 ROAS for Meta after returns?")
• Handoff doc — how to add questions, extend, debug hallucinations
Stack: Shopify + BigQuery + MCP + Claude / ChatGPT.
For DTC brands on Shopify who want AI working on real numbers, not guesses.
If you already have a warehouse on Snowflake / Postgres / Redshift and just need the MCP layer, message me — I'll quote MCP-only at a lower price.
I build the warehouse + MCP server (Model Context Protocol — Anthropic's open standard, now adopted by OpenAI + Google) that sits between Shopify and your AI tools. Your team asks in plain English; Claude or ChatGPT answers from real numbers.
What's included:
• Shopify → BigQuery: full backfill + daily incremental, modelled into clean tables
• MCP server connected to your warehouse, ready for Claude or ChatGPT
• 5-10 canonical questions tested for accuracy ("which SKUs are at stockout risk?", "true margin by channel?", "Q2 ROAS for Meta after returns?")
• Handoff doc — how to add questions, extend, debug hallucinations
Stack: Shopify + BigQuery + MCP + Claude / ChatGPT.
For DTC brands on Shopify who want AI working on real numbers, not guesses.
If you already have a warehouse on Snowflake / Postgres / Redshift and just need the MCP layer, message me — I'll quote MCP-only at a lower price.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, Anomaly Detection, Conversational AI, Natural Language Generation, Natural Language Understanding, Time Series AnalysisAI Development Language
PythonAI Models
ChatGPT, GPT-3, GPT-4What's included $1,400
These options are included with the project scope.
$1,400
- Delivery Time 4 days
Frequently asked questions
27 reviews
(27)
(0)
(0)
(0)
(0)
This project doesn't have any reviews.
CP
Carson P.
May 21, 2026
Data Infrastructure for DTC E-Commerce Brand
Alex is highly experienced AI data engineer, especially when it comes to ecommerce. He really gets the data side of Shopify, DTC, cohorts, attribution and subscription businesses, not just the technical plumbing but the actual business context behind it. He built out our data pipelines and MCP integration, and everything just works. Fast communicator, no hand-holding needed, and the final output was better than what I had in mind. If you need someone who knows AI and ecommerce and retail data inside out, Alex is genuinely great at this!
CP
Carson P.
Feb 21, 2025
Ecommerce Data Engineer with BigQuery and Tableau/Looker/PowerBI
Alex is an outstanding data professional with in-depth knowledge of e-commerce and marketing analytics. He built a robust data pipeline for our business, seamlessly integrating Shopify, GA4, Meta, Facebook, TikTok, Klaviyo, and Google Ads data. His expertise in data visualization tools like Looker and Tableau allowed him to create truly bespoke solutions that perfectly fit our needs. Can’t recommend him enough!
CP
Carson P.
Feb 8, 2024
Ingest and transform anytickets.com data into Bigquery
MG
Marta G.
Feb 14, 2023
Woocommerce - BigQuery Integrations
We absolutely loved working with Alex. It was a 5 out of 5 experience. He brought great solutions to the table. The communication was top notch and the whole process was very smooth. Thank you so so much!
IP
Ivan P.
Nov 28, 2022
WooCommerce, Google Ads, Data Engineering + Data Visualisation in BigQuery and GDS
We needed to create a Google Data Studio Dashboard with our business KPI's and I couldn't be more grateful that I worked with Alex on this task.
He is an absolute professional and pleasure to work with.
He not only provided an exceptional end result but also actively looked for possible issues that could arise in the future, extremely analytical and being able to come up with creative ways to solve problems efficiently.
The only concern I have is that I am not going to be able to book him in the future as he will have too many happy clients and won't be able to take on new projects.
Thank you Alex!
He is an absolute professional and pleasure to work with.
He not only provided an exceptional end result but also actively looked for possible issues that could arise in the future, extremely analytical and being able to come up with creative ways to solve problems efficiently.
The only concern I have is that I am not going to be able to book him in the future as he will have too many happy clients and won't be able to take on new projects.
Thank you Alex!
About Alexander
AI-ready DTC data layer | BigQuery, MCP, Claude | Attribution, Cohorts
100%
Job Success
Letchworth Garden City, United Kingdom - 9:56 am local time
Plain-English queries on 𝗮𝘁𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻, 𝗰𝗼𝗵𝗼𝗿𝘁 𝗟𝗧𝗩, 𝘁𝗿𝘂𝗲 𝗥𝗢𝗔𝗦 — answered from real numbers, not guesses.
⫸ 𝗦𝗢𝗨𝗡𝗗 𝗙𝗔𝗠𝗜𝗟𝗜𝗔𝗥?
You're probably here because of one of these:
▪ 𝗠𝘂𝗹𝘁𝗶-𝘀𝘁𝗼𝗿𝗲 𝗗𝗧𝗖 — multi-brand on Shopify Plus, BigCommerce, or mixed stacks; regional storefronts. Finance, ops, and marketing never see the same number.
▪ 𝗖𝘂𝘀𝘁𝗼𝗺 𝗱𝗮𝘁𝗮 𝗻𝗼 𝗰𝗼𝗻𝗻𝗲𝗰𝘁𝗼𝗿 𝗵𝗮𝗻𝗱𝗹𝗲𝘀 — bespoke COGS, supplier lead-times, manual Excel rebuilds every month
▪ 𝗔𝘁𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻, 𝗰𝗼𝗵𝗼𝗿𝘁 𝗟𝗧𝗩, 𝘁𝗿𝘂𝗲 𝗥𝗢𝗔𝗦 — the questions your BI tool can't answer alone.
All three trace back to one root cause: data that wasn't modelled to be queried cleanly. Fix that and:
▪ Dashboards finally agree across tools
▪ Complex analysis becomes a 1-query job
▪ Claude / ChatGPT work on real numbers — for both ad-hoc chat questions AND the scheduled reports your team currently rebuilds by hand
⫸ 𝗪𝗛𝗔𝗧 𝗜 𝗕𝗨𝗜𝗟𝗗
▪ Unify Shopify, your ad platforms, your ERP, Klaviyo, GA4, and your subscription stack into one BigQuery warehouse
▪ Model it so margin, LTV, attribution, and stockout-risk are answerable in plain English
▪ Wire it up as an MCP server so Claude or ChatGPT answer ad-hoc questions AND generate your weekly board-pack / ops summaries from real numbers, not made-up ones
▪ Build dashboards in whichever BI tool your team already uses — Tableau, Looker Studio, Power BI, Metabase — on the same warehouse, same answers
▪ Tool-agnostic by design: the warehouse is the durable asset; BI tools and AI assistants are interchangeable layers on top, swap either later and the data layer doesn't change
⫸ 𝗦𝗧𝗔𝗖𝗞 𝗜 𝗪𝗢𝗥𝗞 𝗪𝗜𝗧𝗛 𝗠𝗢𝗦𝗧
▪ Unify your ecom platforms (Shopify, BigCommerce, Magento, Amazon), ad networks, ERP, Klaviyo / GA4, and subscription stack — into one BigQuery warehouse
▪ ERPs: OrderWise, Cin7, NetSuite, Brightpearl, Linnworks, Unleashed
▪ Subscriptions: Recharge, Loop, Skio, CheckoutChamp
▪ Marketing: Klaviyo, Google Ads, Meta Ads, TikTok Ads, Pinterest, Mailchimp, Braze
▪ Warehouses: BigQuery (default), Snowflake, Redshift, Postgres
▪ BI: Tableau, Looker Studio, Power BI, Metabase — your call, all on the same warehouse
▪ AI: Claude (Anthropic), ChatGPT/OpenAI — wired via MCP servers
⫸ 𝗪𝗛𝗬 𝗠𝗘
▪ 12 years building data systems for ecom and enterprise
▪ Past enterprise data work at Just Eat Takeaway and Condé Nast
▪ 30+ Upwork projects, all 5-star
▪ Top Rated Plus, fully vetted
⫸ 𝗟𝗘𝗧'𝗦 𝗧𝗔𝗟𝗞
If any of those sound familiar — message me. Happy to look at your current setup and tell you whether it's a 2-week tidy or a 6-week rebuild. Either way, you'll know after a 20-min call.
Steps for completing your project
After purchasing the project, send requirements so Alexander can start the project.
Delivery time starts when Alexander receives requirements from you.
Alexander works on your project following the steps below.
Revisions may occur after the delivery date.
Kick-off — confirm Shopify store, AI tool, top 5-10 canonical questions
Access provided — Shopify Admin, GCP project for BigQuery, AI tool API