Turn scattered ad data into one source of truth
I build AWS-native marketing data pipelines for performance agencies and e-commerce brands — plus an AI assistant that answers your data questions in plain English, and automated reports delivered straight to Slack.
Built on the same AWS data engineering patterns I used in production for enterprise customers.
"Which channel drove the most revenue last month?"
→ Meta Ads: $0K (38% of total), up 12% MoM
The problem
Your data is everywhere.
Your answers are nowhere.
If you're a performance agency or e-commerce brand, this is your monthly reality:
Every month your team spends days pulling data from Meta, Google, Shopify, Klaviyo — copy-pasting into a spreadsheet just to answer basic questions.
"Which channel actually drove revenue last quarter?" shouldn't take a week to answer. But without a unified warehouse, it does.
Shopify says one thing. Meta Ads Manager says another. GA4 says something else. No single number you can trust for true ROAS or customer LTV.
Everything lives inside ad platforms and SaaS tools. The moment you stop paying, you lose access. There's no owned, portable source of truth.
What I build
Outcomes, not jargon
Here's what working with me actually delivers for your team.
All your marketing data in one place, automatically
Shopify, Meta Ads, Google Ads, GA4, Klaviyo, Amazon — ingested automatically, no more manual exports.
Clean, reliable, business-ready metrics
Transformation layer (dbt) that produces trustworthy numbers: ROAS, LTV, funnel, profitability — all pre-calculated.
Dashboards your team actually trusts
Apache Superset dashboards built on top of your warehouse — not another tool that becomes shelfware.
Ask questions in plain English, get answers
An AI assistant (Amazon Bedrock / Claude) wired to your warehouse. No SQL. No waiting for the analyst.
You own all of it
Everything deployed as code inside your own AWS account. No vendor lock-in. No per-row fees. Your data, forever.
Reports & alerts pushed to your Slack
AI-written briefings land in Slack every morning — and a threshold-aware agent watches your metrics around the clock, pinging you the moment something moves out of range.
Automated reporting
The morning briefing writes itself.
Dashboards wait for someone to look. This doesn't. An AI-written performance briefing — with the full PDF report attached — lands in your team's Slack every morning and every Monday.
On a schedule, not on request
EventBridge triggers the pipeline every morning and every Monday. Nobody has to remember to run anything — the numbers just show up.
AI-written, not templated
Claude reads the fresh warehouse data and writes the story — best performers, biggest shifts, and what needs attention today.
Full PDF attached
Charts, channel tables and week-over-week deltas in a polished PDF — ready to forward to a client or your CEO as-is.
Services & Pricing
Transparent packages.
No mystery quotes.
Marketing Data Hub
A complete AWS-native data pipeline that pulls all your marketing and sales sources into one warehouse and surfaces them in dashboards your team actually trusts.
Founding rate · price increases after first clients
- Automated ingestion from your stack (Shopify, Meta Ads, Google Ads, GA4, Klaviyo, Amazon Seller Central)
- AWS data lake + query layer built inside your own AWS account
- Core business metrics modeled: channel ROAS, customer LTV, conversion funnel, profitability
- Apache Superset dashboard for your team
- Automated daily & weekly PDF reports delivered straight to Slack
- No third-party warehouse — your data stays in AWS
"One trustworthy source of truth for every marketing channel."
Start with the HubAI Reporting Agent
The complete package: everything in the Marketing Data Hub, plus an AI assistant layered on top so anyone on your team can ask questions in plain English and get answers instantly — no SQL, no analyst bottleneck.
Founding rate · price increases after first clients
- Everything in Marketing Data Hub
- Natural-language AI chat interface (Amazon Bedrock / Claude) wired to your warehouse
- "Ask anything" reporting — e.g. "What was our Meta ROAS in Q1 vs Google?"
- AI-written Slack briefings — Claude turns the numbers into narrative insights
- No SQL required — answers in seconds, not hours
"Ask your data anything, in plain English."
Get the Full BuildFractional Data Partner
Ongoing partnership. I act as your embedded data engineer — maintaining the pipeline, adding new sources and clients, building new reports, and keeping everything running.
- Pipeline maintenance and monitoring
- New data sources / new client onboarding onto the platform
- New metrics, models, and dashboards on request
- Priority support and response
- Embedded tier available for agencies ($6K–$8K/mo)
"Your data team, without the headcount."
Discuss the RetainerCustom Build
Different data sources, a specific report format, a narrower or broader AI agent than the standard build — every engagement starts with understanding your stack, not mine.
Every build is scoped to your stack — swap sources, tweak report formats, or adjust the AI agent's focus at no extra discovery cost.
AWS infrastructure costs are a transparent, separate pass-through — never folded into the fee.
Why work with me
Not just another freelancer
Built data infrastructure at AWS
Years inside AWS Premium Support solving the hardest data infrastructure problems for enterprise customers. Most freelance data engineers can't say that.
Your data stays in AWS
No third-party warehouse vendors, no per-row pricing surprises. Everything runs inside your own AWS account. You own all of it, forever.
A working demo, not a slide deck
There is a complete, live, walkable demo — a full marketing data platform for a fictional DTC brand, end to end. See exactly what I'd build for you.
Transparent, productized pricing
Clear packages with "starts at" pricing. No vague "contact us for a quote," no surprise invoices. You know what you're getting and what it costs.
No connector lock-in
AWS-native ingestion via AppFlow + Airbyte Cloud — or fully custom Lambda/API extractors built for your stack. You're never dependent on a third-party connector vendor.
10+ years in data & cloud engineering
From business analytics to AWS cloud support to data engineering — a decade of progressive, hands-on expertise building production data systems.
See it in action
A live demo, not a pitch deck.
Acme Coffee Hub is a fictional DTC coffee brand — and a complete, working, AWS-native marketing data platform built end-to-end. Shopify, Meta Ads, Google Ads, GA4, Klaviyo, and Amazon Seller Central — unified, transformed, dashboarded, queryable in plain English, and delivered to Slack as automated briefings and alerts.
This is one configuration — proof of what's possible, not a fixed menu. Your build starts with your stack, not mine.
How it works
From raw ad data to AI-ready insights
Every layer AWS-native, every pipeline deployed as code in your own account. No black boxes, no vendor lock-in.
- Shopifye-com
- Meta Adspaid
- Google Adspaid
- GA4analytics
- Klaviyoemail
- Amazon SCmarketplace
- AWS AppFlowmanaged
- Airbyte Cloudconnector
- Lambda Extractorscustom
- S3 Data Lakeraw + curated
- AWS Gluecatalog
- Amazon Athenaquery engine
- dbt CoreSQL models
- ROAS / LTVmetrics
- Funnel Modelsattribution
- Apache Supersetdashboards
- Amazon BedrockAI runtime
- Claude Agentchat interface
- Slack Reportsdaily PDF
- Shopifye-com
- Meta Adspaid
- Google Adspaid
- GA4analytics
- Klaviyoemail
- Amazon SCmarketplace
- AWS AppFlowmanaged
- Airbyte Cloudconnector
- Lambda Extractorscustom
- S3 Data Lakeraw + curated
- AWS Gluecatalog
- Amazon Athenaquery engine
- dbt CoreSQL models
- ROAS / LTVmetrics
- Funnel Modelsattribution
- Apache Supersetdashboards
- Amazon BedrockAI runtime
- Claude Agentchat interface
- Slack Reportsdaily PDF
About Anuj
Built data infrastructure at AWS.
Now building it for you.
I spent years at Amazon Web Services — first in Premium Support solving the hardest data infrastructure problems for enterprise customers, then as a Data Engineer building production pipelines and AI agents on AWS. That combination of deep technical skill and real-world customer problem-solving is what I bring to every engagement.
Now I work independently, building the same caliber of data systems for performance agencies and e-commerce brands — at a price point that makes sense.
Stop stitching together
ad reports.
Let's talk about your data stack, your pain points, and whether I'm the right fit. No pressure — just an honest conversation about what it would take to give your team one source of truth.