Blazing fast implementation, backed by 74+ martech, data and growth stacks*
Data warehouse and CDP implementation for one trusted customer view
We set up Snowflake or Google BigQuery, Segment or RudderStack, Fivetran or Airbyte pipelines, dbt models or reverse ETL with Hightouch, one piece or the whole pipeline, so one trusted customer view feeds every tool.
- Fixed price, no hourly billing
- Live in weeks, not quarters
- Startups get 50% off
- Free martech AI agent
Tools we implement
Snowflake
BigQuery
Segment
RudderStack
Fivetran
Airbyte
dbt
Hightouch
Census
* 74+ martech, data and growth stack implementations, delivered through martechdevs and Growth and Analytics Partners LLC.
Trusted by fast-growing teams
Warehouse, CDP and pipelines, built hands-on
Data warehouse consulting from the people who build it. We design the warehouse, collect the data, model it and send it back out to your tools.
Snowflake or BigQuery setup
A marketing data warehouse with access controls, cost limits and a clear path from raw data to modeled tables.
Segment or RudderStack CDP
Events from web, app and server collected in one format, with identity rules that merge each person into one profile.
Fivetran and Airbyte pipelines
Your CRM, ad platforms, billing, database and support tools loaded on a schedule, with alerts when a sync fails.
Data modeling with dbt
Raw data cleaned and joined into tables people can use: customers, accounts, subscriptions, campaigns and revenue.
Reverse ETL
Hightouch or Census syncs that send audiences and traits like lifetime value or churn risk to HubSpot, Salesforce, Braze and your ad platforms.
Data quality and governance
A tracking plan, schema checks and tests for freshness and duplicates, so the warehouse stays trusted.
Your warehouse with MCP access, and agents that act on it
Your warehouse becomes the one source of truth that AI reads and acts on. Your team asks it in Claude or Codex, and agents push modeled audiences to Google Ads, your CRM or Braze.
- What is the 12-month value of customers who came from paid search?. Reads Snowflake over MCP.
- Find accounts with rising churn risk and alert their owners in HubSpot.. Scores churn risk in Snowflake, then updates HubSpot.
- Send trial users who are likely to convert to Google Ads as an audience.. Builds the audience in Snowflake, synced to Google Ads by reverse ETL.
Snowflake or BigQuery with MCP access
A Snowflake or BigQuery MCP server, so Claude, Codex or your own agents can query your modeled tables in plain English.
A semantic layer for AI
Revenue, MQL and churn defined once with dbt, so every AI answer uses your definitions.
Modeled audiences and reverse ETL
Audiences built in the warehouse flow to Google Ads, HubSpot and Braze, and reverse ETL with Hightouch or Census keeps every tool in sync.
AI agents on your warehouse
Agents that refresh audiences, flag failed syncs and act on churn and lifetime value scores without waiting to be asked.
With every implementation
Yours after handover
The MCP access, the agents and the docs live in your own accounts. Your team runs it all with AI, without depending on us.
No retainer needed
A one-time setup at a fixed price. There is no monthly retainer to keep it running, so your costs go down over time.
Right from day one
Anyone can set up a tool with AI, but it's only as good as what the AI guesses. We know what works from 74+ implementations.
Free martech AI agent
Every implementation includes it: slash commands and skills that run your whole stack in Claude Code.
See the agent
Not sure your data is ready for AI? Use the AI readiness checklist
Sound familiar?
Three teams, three revenue numbers.
Every metric is rebuilt in a different spreadsheet.
Your CDP bill grows faster than its value.
Events flow everywhere, and nobody trusts them.
The warehouse knows what your tools can't see.
LTV and churn risk never reach HubSpot or Braze.
Pipelines fail quietly and nobody owns them.
You find out from a wrong dashboard, days later.
We build the warehouse as the single source of truth: modeled with dbt, fed by pipelines you can trust and synced back into every tool with reverse ETL, so every team works from the same customer.
Data warehouse implementation, step by step
01
Free stack audit
We map your sources, your tools and the questions the data has to answer.
02
Fixed quote
Price, scope and timeline by email, usually within one business day.
03
Design
Warehouse layout, tracking plan and identity rules agreed before we build.
04
Build
Warehouse, CDP, pipelines and models set up in your own accounts.
05
Activate and test
Reverse ETL syncs switched on, with every number checked against its source.
06
Hand over
Docs and a training session for your team, plus ongoing support if you want it.
Don't take our word for it. Hear it from the founders who handed us their stack.
JB Jaquenzel
Founder and CEO, Evaboot
“Faizur helped us transfer Google Analytics conversion events to Google Ads via Segment. We set that up within two or three weeks. Now we have a clear vision of our conversions and we could optimize our campaigns like this. Because if your tracking is not on point, you can't really improve your Google Ads performance.”
GA4Segment
Google AdsElie
CMO, Submagic
“We have worked with Faizur and his agency for the past six months to set up all the growth stack that we needed. All the marketing analytics tools like Mixpanel, Google Analytics, data tracking tool, customer analysis tool like Customer.io, and every kind of tool that we needed. He's always ready to help and super reactive. I highly recommend to work with him.”
Mixpanel
Customer.ioGA4Arman Assadi
CEO, Steno.ai
“We worked with Faizur when we wanted to set up Mixpanel. What I loved was how detail-oriented he was, and that he wasn't just there to accomplish that one task. He was able to advise us. He suggested setting up Segment and he thought about everything at a macro level, all the way down to the micro. It gave me confidence to outsource this.”
MixpanelSegmentGabriel
Operations, MKTV
“We recently had the pleasure of working with Faiz on our integration of Segment. Not only did he help us seamlessly set up the integration, but he also went above and beyond to help us establish dashboards in Mixpanel. What was super valuable was having somebody who understood both the business/marketing requirements but also had the technical expertise to execute them.”
SegmentMixpanelJB Jaquenzel
Founder and CEO, Evaboot
“Faizur helped us transfer Google Analytics conversion events to Google Ads via Segment. We set that up within two or three weeks. Now we have a clear vision of our conversions and we could optimize our campaigns like this. Because if your tracking is not on point, you can't really improve your Google Ads performance.”
GA4SegmentGoogle AdsElie
CMO, Submagic
“We have worked with Faizur and his agency for the past six months to set up all the growth stack that we needed. All the marketing analytics tools like Mixpanel, Google Analytics, data tracking tool, customer analysis tool like Customer.io, and every kind of tool that we needed. He's always ready to help and super reactive. I highly recommend to work with him.”
MixpanelCustomer.ioGA4Arman Assadi
CEO, Steno.ai
“We worked with Faizur when we wanted to set up Mixpanel. What I loved was how detail-oriented he was, and that he wasn't just there to accomplish that one task. He was able to advise us. He suggested setting up Segment and he thought about everything at a macro level, all the way down to the micro. It gave me confidence to outsource this.”
MixpanelSegmentGabriel
Operations, MKTV
“We recently had the pleasure of working with Faiz on our integration of Segment. Not only did he help us seamlessly set up the integration, but he also went above and beyond to help us establish dashboards in Mixpanel. What was super valuable was having somebody who understood both the business/marketing requirements but also had the technical expertise to execute them.”
SegmentMixpanelJB Jaquenzel
Founder and CEO, Evaboot
“Faizur helped us transfer Google Analytics conversion events to Google Ads via Segment. We set that up within two or three weeks. Now we have a clear vision of our conversions and we could optimize our campaigns like this. Because if your tracking is not on point, you can't really improve your Google Ads performance.”
GA4SegmentGoogle AdsElie
CMO, Submagic
“We have worked with Faizur and his agency for the past six months to set up all the growth stack that we needed. All the marketing analytics tools like Mixpanel, Google Analytics, data tracking tool, customer analysis tool like Customer.io, and every kind of tool that we needed. He's always ready to help and super reactive. I highly recommend to work with him.”
MixpanelCustomer.ioGA4Arman Assadi
CEO, Steno.ai
“We worked with Faizur when we wanted to set up Mixpanel. What I loved was how detail-oriented he was, and that he wasn't just there to accomplish that one task. He was able to advise us. He suggested setting up Segment and he thought about everything at a macro level, all the way down to the micro. It gave me confidence to outsource this.”
MixpanelSegmentGabriel
Operations, MKTV
“We recently had the pleasure of working with Faiz on our integration of Segment. Not only did he help us seamlessly set up the integration, but he also went above and beyond to help us establish dashboards in Mixpanel. What was super valuable was having somebody who understood both the business/marketing requirements but also had the technical expertise to execute them.”
SegmentMixpanel
Data warehouse consulting at a fixed price
You know the price, the scope and the timeline before we start.
Fixed price, no hourly billing
One price for the whole project, agreed before we start. No timesheets and no surprise invoices.
Your quote in one business day
Tell us your stack and what you need. You get the price, scope and timeline by email, usually within one business day.
Live in weeks, not quarters
Most projects are live within a few weeks, and the timeline is written into your quote.
Free stack audit
A 30-minute call on your stack: where it hurts, the quick wins, and what to fix first. No obligation.
Book a free stack audit
Startups get 50% off
Same specialists and the same fixed-price quote, at half the price. Tell us your stack and the 50% discount is applied to your quote.
- Fixed price, no hourly billing
- Live in weeks, not quarters
- Specialists, not generalists
Data warehouse and CDP questions, answered
Something else on your mind? Email hello@martechdevs.com or book a free stack audit.
Snowflake or BigQuery?
Both work well for marketing data. BigQuery is a natural fit if you're on Google Cloud or rely on GA4, which exports straight into it. Snowflake suits teams on AWS or Azure, or anyone who wants to stay cloud-neutral and share data with partners. Cost depends mostly on how you query. We recommend one after looking at your sources, team and budget.
Do we need Segment if we already have a warehouse?
Not always. Segment or RudderStack collects events from your website, app and servers in one format and sends them to your tools in real time. If you only need data in the warehouse for reporting, Fivetran or Airbyte plus native exports may be enough. If you also want live events in Braze, HubSpot or your ad platforms, a CDP saves a lot of custom work. Some teams use the warehouse itself as the hub with reverse ETL, often called a composable CDP.
What is reverse ETL, and when do we need it?
Reverse ETL copies data from your warehouse back into the tools your teams use, like HubSpot, Salesforce, Braze or your ad platforms. You need it when the useful data, such as lifetime value, product usage or churn risk, lives in the warehouse and those tools can't see it. We set it up with Hightouch or Census, on Snowflake or BigQuery.
Can we query Snowflake or BigQuery with AI?
Yes. We set up a Snowflake or BigQuery MCP server, so Claude, Codex or your own agents can query your modeled tables in plain English. Each metric is defined once, so the answers match your dashboards, and the same models feed audiences to Google Ads, HubSpot and Braze.
Fivetran or Airbyte?
Fivetran is fully managed, has a large set of maintained connectors and charges by monthly active rows. Airbyte is open source, runs on your own servers or as a cloud service, and is often cheaper at high volume, with more upkeep. We pick based on your sources, data volume and who will look after the pipelines.
How do you keep the data clean?
We agree a tracking plan and naming rules before anything is built, then transform the raw data with dbt into clean, modeled tables. Checks for freshness, duplicates and missing values catch problems early, and in Segment or RudderStack the tracking plan blocks or flags events that don't match it.
How long does a data warehouse implementation take?
Most projects are live within a few weeks. A first version with your main sources loaded and modeled comes first, then more sources and the reverse ETL syncs. Your fixed quote gives the timeline.
Can you build a single customer view?
Yes. We join web, app, CRM, billing and support data on shared IDs such as email, user ID and device ID into one profile per customer, in the warehouse and in your CDP if you use one. That profile then drives audiences, scoring and reporting.
What does the free stack audit cover?
It's a 30-minute call on your data sources, tools and reporting: where it hurts, the quick wins, and what to build first, with a timeline and next steps. There's no obligation.
Get a fixed-price quote for your warehouse and CDP
Three quick steps, under a minute. Price, scope and timeline by email, usually within one business day.
Startup?
Data warehouse & CDP guides from our blog
Read all guides- Data Warehouse
How to Model SaaS MRR Without Double Counting Revenue
Model SaaS MRR at subscription-item grain with effective dates, explicit policies and a checked SQL fixture. Prevent invoice and CRM joins from inflating totals.
Jafrin Akter Alo8 min read
- Data Warehouse
dbt Incremental Backfills: Repair History Without Breaking Today's Reports
Plan reliable dbt backfills with affected-group recomputation, full refresh and microbatch guidance, validation fixtures and downstream release checks.
Jafrin Akter Alo10 min read
- Data Warehouse
BigQuery Implementation Mistakes: Fix Missing Data, Cost Surprises and Unreliable Reports
Fix missing GA4 exports, location mistakes, sandbox limits and costly raw scans with BigQuery diagnostics, reconciliation checks and recovery steps.
Jafrin Akter Alo12 min read
Book a Free Audit
A free audit of your stack and what it needs. No pitch.
Thirty minutes, and you leave with a plan
We look at what you have, what it is costing you and what to do about it first.
- 30 minutes
- Video call, link on booking
- No obligation
What we'll cover
- Your current stack and where it hurts
- Quick wins we can ship first
- An integration roadmap
- Timeline, scope and next steps
Calendar not loading? Open it in a new tab or email hello@martechdevs.com.