Basil Khan
RevOps & Systems Automation Engineer

Architecting revenue operations pipelines, CRM integrations, and data infrastructure. Blending analytical rigor with hands-on execution—from Salesforce to cloud-native systems.
About Me
RevOps and systems automation engineer with a unique blend of analytical reasoning and hands-on technical execution. I build pipeline automation, CRM integrations, and data infrastructure that power revenue teams—from lead-to-cash workflows to attribution modeling.

Education
Duke University & Duke Kunshan University
Dual Degree — Political Economy, Economics
GPA: 3.3
Location
Los Angeles, CA
Focus Areas
RevOps • CRM Integration • Data Pipelines • Cloud Infrastructure • Automation Engineering
Core Skills
RevOps, automation, and systems—from CRM to data pipelines
Revenue Operations
- •Salesforce
- •HubSpot
- •CRM strategy
- •Pipeline analytics
- •Lead scoring
- •Attribution
Programming & Backend
- •Python
- •SQL
- •FastAPI
- •REST APIs
- •Backend scripting
Systems & Infrastructure
- •Docker
- •Linux
- •Cloud deployment
- •Git
- •Environment configuration
Integration & Automation
- •API orchestration
- •Twilio SMS
- •Supabase
- •WordPress automation
- •Celery workflows
Data & Processing
- •Web scraping
- •Data pipelines
- •ETL
- •dbt
- •Looker
- •Database integration
Analytical Capabilities
- •Quantitative modeling
- •Decision frameworks
- •Economic analysis
- •Structured reasoning
Professional Experience
Building and scaling operations—from RevOps pipelines to cross-functional execution
Founder & Operations Lead
- ▹Designed scalable operational workflows connecting students to global university programs across multiple regions
- ▹Introduced automation into evaluation processes, improving throughput and reducing manual coordination
- ▹Coordinated technical and partner-facing execution across distributed stakeholders
- ▹Applied analytical decision frameworks to optimize matching and resource allocation
Founder & Client Solutions Manager
- ▹Managed distributed execution of digital campaigns across client verticals
- ▹Applied data-driven analysis to optimize resource deployment and deliverable quality
- ▹Delivered technical integrations involving analytics tracking and reporting systems
- ▹Coordinated multi-party execution and solution delivery timelines
Technical Projects
RevOps, automation, and systems builds—from pipeline orchestration to data infrastructure
RevOps Pipeline Automation Platform
End-to-end revenue operations stack automating lead-to-cash workflows across CRM, marketing, and sales systems
- •Architected bi-directional sync between Salesforce and HubSpot, eliminating manual data entry
- •Built automated lead scoring and routing pipelines reducing lead response time by 60%
- •Designed pipeline health dashboards with real-time stage conversion analytics
GTM Data Stack & Attribution Modeling
Go-to-market data infrastructure enabling accurate attribution and cohort-based revenue analysis
- •Modeled multi-touch attribution across paid, organic, and partner channels
- •Built scalable ETL pipelines for marketing and sales data unification
- •Delivered executive-ready dashboards for CAC, LTV, and funnel conversion metrics
CRM Health & Data Quality Automation
Automated data governance and hygiene pipelines keeping CRM and downstream systems audit-ready
- •Implemented automated duplicate detection and merge workflows
- •Built validation rules preventing bad data from entering the pipeline
- •Reduced manual data cleanup effort by 80% through scheduled hygiene jobs
WordPress Booking Automation System
End-to-end automation integrating WordPress, Twilio messaging, and backend processing logic
- •Designed REST API orchestration connecting multiple services
- •Implemented asynchronous workflow handling for message-triggered booking confirmations
- •Debugged infrastructure-level deployment issues in production environments
Backend Automation & Data Pipelines
Python-based automation system with async processing and external service integration
- •Built scraping pipelines with retry logic and fault tolerance
- •Implemented Celery worker architecture enabling asynchronous task processing
- •Developed API integration layer linking Supabase backend with external services
Infrastructure & Environment Configuration
Containerized development environments and experimental backend architectures
- •Configured containerized development stacks using Docker
- •Resolved cloud deployment conflicts across configuration layers
- •Built experimental backend architectures using FastAPI and database integrations
Let's Connect!
I'd love to hear from you. Schedule a meeting or send a message.