Rahul M.

Anthropic Partner & Data/AI Architect | CDP| Tracking | Data Engineer

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.