Blazing fast implementation, backed by 74+ martech, data and growth stacks*
We set up dbt on Snowflake or BigQuery, on dbt Core or the dbt platform, with layered models for marketing, product and revenue, tests on every key table, CI and docs, so every report and AI agent uses the same definitions.
Choosing a warehouse or adding a CDP? See data warehouse and CDP.
Tools we implement
dbt
Snowflake
BigQuery
Fivetran
Airbyte
Hightouch
Metabase
Claude* 74+ martech, data and growth stack implementations, delivered through martechdevs and Growth and Analytics Partners LLC.
Analytics engineers who move your logic into a tested dbt project, define each metric once and wire in CI and alerts, so a broken source fails a test before it reaches a report.
A dbt project in your Git repository with development, CI and production environments, on dbt Core or the dbt platform.
Staging, intermediate and mart models for customers, accounts, campaigns, subscriptions and revenue, named so anyone can follow them. See data warehouse design.
Tests for uniqueness, nulls, relationships and the business rules your reports rely on, so bad data fails a build, not a meeting. See dbt tests.
Large tables built incrementally, with a safe way to backfill, so runs stay fast and warehouse cost stays flat. See dbt incremental backfills.
Revenue, retention, CAC and other metrics defined once, so BI tools and AI read the same numbers. See semantic layers for AI.
Pull request checks, generated docs with lineage, and alerts when a run or a freshness check fails.
With dbt and your warehouse connected to Claude over MCP, your team asks about metrics and lineage in plain English, AI answers from your definitions, and agents explain failed runs and what they affect.
dbt connected to Claude, Cursor or Claude Code through the dbt MCP server, with the project, lineage and metrics as context.
AI answers from metrics defined once in dbt, not from SQL it guesses.
Claude Code writing and refactoring models to your style guide, with tests run before anything is merged.
Agents that explain a failed run in plain English and list the reports it affects.
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 agentNot sure your data is ready for AI? Use the AI readiness checklist
Most teams come to us at one of four points, and the scope is written for yours before any work starts.
Not the right fit for heavy data engineering such as streaming pipelines or machine learning platforms. We model marketing, product and revenue data for reporting and activation.
You have a warehouse full of raw data and SQL in dashboards. We set up dbt and move the logic in. See is dbt still free.
Hundreds of models, few tests and slow runs. We refactor, test and document. See dbt implementation mistakes.
Scheduled queries, stored procedures or another tool moved into dbt; a large body of logic is priced as a custom plan.
You need trustworthy metrics without a full-time hire. We build the project and train whoever will own it.
dbt sits between loading and everything that reads your data. We connect both sides, so models run when data lands and reports read only tested tables.
Fivetran or Airbyte sources, with dbt runs triggered after each sync. See Fivetran vs Airbyte.
Metabase, Tableau or Data Studio reading marts and metrics, never raw tables.
Tests, freshness checks and alerts, with tools like Elementary where they help. See data observability tools.
So the fixed price covers exactly what we build, and nothing comes as a surprise later.
dbt Core is free. If you choose the dbt platform, its seats and usage are billed by dbt Labs.
Snowflake or BigQuery compute used by dbt runs is billed to your account. Incremental models keep it low.
We model data for reporting and activation. Forecasting or machine learning work is scoped separately.
Revenue has four definitions.
One per dashboard, none of them documented.
The SQL lives in dashboards.
Copied, edited and never tested.
A source change breaks things quietly.
Nobody hears until the board meeting.
The nightly run takes hours.
Full rebuilds of tables that barely changed.
We move your logic into a tested dbt project, define each metric once, build large tables incrementally, and add CI and alerts, so a broken source fails a test before it reaches a report.
01
A free call on your warehouse and reports, or the $99 audit for a written review of your models and metrics.
02
Compare the fixed price packages, then get the detailed scope by email within one business day.
03
Layers, key models, metric definitions and tests agreed with your team before anything is built.
04
Models, tests and environments built in your repository, reviewed through pull requests.
05
Key metrics reconciled with the source tools and your finance numbers before any report switches over.
06
Docs, a style guide and a walkthrough for your analysts, plus your martech AI agent and support after launch.
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.”
GA4
Segment
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
dbt comes in Growth: $12,150 (25% off $16,200), live in 12 weeks, or 6 weeks on super fast. It includes everything in Starter as well, so the pipelines and first dashboards around your models are set up properly. Not sure where to start? The $99 audit ends with a fixed price proposal.
Eligible startups get 40% off instead of 25%. Starter comes to $3,840 and Growth to $9,720.
Before you commit to a plan
$99one-off
We review your setup and walk you through the findings on a one-hour specialist call.
Teams of up to about 20 people, under $1M ARR
$4,800one-off
$6,40025% off
Get started with tracking, analytics and a proper data setup.
Companies with $1M to $10M ARR
$12,150one-off
$16,20025% off
The data setup a growing team runs its marketing and reporting on.
Over $10M ARR, several markets or an unusual stack
Let's talk
A plan built around your stack, your team and your deadline.
Prices in USD for a typical setup. We use the tools that fit your stack, and a bigger or more complex setup can change the price. We agree any change with you before we start.
Questions about pricing? See the pricing FAQ
Something else on your mind? Email hello@martechdevs.com or book a free call.
Growth is $12,150 (25% off $16,200), live in 12 weeks, at a fixed price with no hourly billing. Eligible startups get 40% off the list price instead. More brands, markets or a migration from another tool make it a custom plan, priced before work starts. dbt Core is free; dbt platform seats and warehouse compute are billed by their vendors. See the fixed price packages.
dbt, the data build tool, turns raw warehouse tables into clean, tested models using SQL, with version control, tests and documentation. Analysts write select statements; dbt builds them in the right order and checks the results.
dbt Core is open source and free. The dbt platform, formerly dbt Cloud, adds a browser IDE, scheduling and the hosted semantic layer, billed by seat and usage. Many small teams run dbt Core on a scheduler. See is dbt still free.
dbt Core suits teams comfortable with Git and a scheduler. The dbt platform suits teams that want a browser IDE, managed runs and the hosted semantic layer. We set up either and can move you between them.
Not for a working dbt project. Fivetran and dbt Labs completed their merger in June 2026, and dbt Core remains open source, so your models keep running. We tell you if a product change affects your setup.
Yes, for anything beyond raw tables. Fivetran loads data as it looks in each tool; dbt turns it into customers, campaigns and revenue that make sense across tools. See Fivetran implementation.
Dataform is built into BigQuery and fine for BigQuery-only teams. dbt works on any warehouse and has the larger ecosystem of packages, tests and tools. We use whichever fits your stack.
Growth goes live in 12 weeks, or 6 weeks on super fast. A large migration of existing SQL is a custom plan with its own timeline.
You do. The repository, the project and its docs live in your Git account and your warehouse, and we work through access you can revoke at any time.
Growth includes 90 days of support after handover, up to 30 hours. It covers fixes, questions and small changes to models and tests. After that your team runs it with the docs and your martech AI agent, or keeps us on a retainer from $1,980 a month.
Last updated: .
A $99 audit or a fixed price package from $4,800, with no hourly billing.
Startup?
Choose a dbt incremental strategy for ad spend, events and CRM updates. See a DuckDB model, key and lookback checks, adapter differences and rerun tests.
Jafrin Akter AloLast updated 13 min read
Plan reliable dbt backfills with affected-group recomputation, full refresh and microbatch guidance, validation fixtures and downstream release checks.
Jafrin Akter AloLast updated 12 min read
Build a dbt test suite for spend, CRM and billing data. Copy SQL and YAML examples, catch missing rows, set severity and prove the release gate works.
Jafrin Akter AloLast updated 12 min read
Thirty minutes on your stack and what it needs. Free, and no pitch.
We look at what you have, what it is costing you and what to do about it first.
What we'll cover
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RudderStack implementation
Census reverse ETL