Building data infrastructure that turns GTM & revenue chaos into clarity.

I specialize in RevOps analytics for B2B SaaS — bridging the gap between Go-To-Market (GTM) execution and robust data architecture. I connect fragmented data from CRMs, billing systems, product telemetry, and support platforms into unified pipelines that drive strategic revenue decisions.

📍 Tashkent, Uzbekistan | 🌐 Open to Remote
🔗 LinkedIn | 📧 farruxbekvalijonov65@gmail.com

• GTM Data Pipelines: Unify HubSpot, Salesforce, Stripe, Mixpanel, and Intercom to build a true 360° view of the customer journey.
• SaaS Metric Engineering: Architect robust dbt models for ARR waterfalling, NDR/GRR tracking, pipeline velocity, and customer health scoring.
• Data Trust & Quality: Enforce strict data governance using comprehensive dbt testing (167+ explicit network tests) ensuring zero surprises in board-level reporting.
• Data Activation (Reverse ETL): Moving from static dashboards to operational analytics by syncing calculated lead scores and product usage data back to the CRM.

An end-to-end Modern Data Stack implementation designed specifically for resolving B2B SaaS departmental silos and mapping the full revenue lifecycle.

The Business Problem:
Sales checks Stripe manually for payment status. CS looks at Mixpanel for engagement. Finance calculates MRR in spreadsheets. No one agrees on the numbers.

The Engineering Solution:
Extract: HubSpot + Stripe + Mixpanel + Intercom → Transform: dbt (Dimensional Modeling + SCD2) → Serve: Streamlit / BI

Business Impact:

• ✅ Created a unified Single Source of Truth for 10,000+ accounts.
• ✅ Automated complex MRR movement classifications (Expansion, Contraction, Churn, New).
• ✅ Secured pipeline reliability through 167+ automated data quality tests.
• ✅ Tracked historical account health changes using dbt snapshots (SCD Type 2).

A specialized macro package for B2B SaaS Revenue Operations that enforces DRY (Don't Repeat Yourself) principles. Centralizes complex, error-prone business logic (e.g., standardizing CRM stages, classifying MRR movements) into reusable components.

A specialized pipeline unifying Marketing (GA4, Ads) and CRM (HubSpot) data to track the journey from anonymous sessions to Closed-Won revenue.

Business Impact:

• ✅ Resolved Lead-to-Account mapping for automated ABM attribution.
• ✅ Established a Full-Funnel view for ROI calculation across every acquisition channel.
• ✅ High reliability with 56+ automated quality tests and local-first performance via DuckDB.

A scalable dbt-powered warehouse for e-commerce focusing on core KPIs and cohort retention. (Tech: dbt, PostgreSQL)

• Advanced dbt Deployments: CI/CD triggers, Slim CI for cost-efficient runs.
• Semantic Layer Integration: Abstracting metric definitions using dbt Semantic Layer.
• Data Activation: Connecting warehouses back to business apps (Reverse ETL).

Role: RevOps Analytics Engineer / Data Engineer (GTM / Revenue Focus)
Industry: B2B SaaS, FinTech, E-commerce
Location: Remote (UTC+5)

• 💼 Connect on LinkedIn
• 📧 Email me at: farruxbekvalijonov65@gmail.com
• 🐙 GitHub: @farrux05-ai