**Platform Architecture & Distributed Systems**

• Designed event-driven architecture processing 400+ event types across 4 global regions serving 200+ B2B customers

• Consolidated distributed tracking systems, reducing complexity 67% (600 to 200 events) and accelerating analysis 95% (2 days to 15 min)

• Established architectural patterns and documentation enabling platform scalability

**Data Infrastructure & Analytics**

• Architected AWS Redshift data warehouse with dimensional modeling (star-schema data marts) for product usage, customer health, and revenue analytics

• Led data modeling initiative using DBT, designing fact/dimension tables for cross-functional analytics

• Developed batch ETL pipelines integrating Salesforce, product telemetry, and billing data into unified data marts

• Reduced ad-hoc requests 90% and maintenance overhead 95% (1-2 days weekly to 0.5 days monthly) via self-service BI platform (Lightdash)

**System Reliability & Code Quality**

• Redesigned billing alert architecture in Clojure, eliminating 90% code duplication and improving incident response 87% (15 min to 2 min)

• Improved Salesforce Apex test coverage from 7% to 90%, automating deployment pipeline from sandbox to production

• Established code review standards and best practices across engineering teams

**Technical Leadership**

• Led design reviews with engineering, product, and business stakeholders to evaluate technologies and define system architecture

• Mentored engineers on architectural decisions and established patterns for distributed system design

Drove technical alignment across 4 regional teams, breaking down technical barriers

**Business Impact**

• Built monitoring infrastructure identifying $700K ARR churn risk, delivering $800K revenue impact ($700K retention + $100K expansion)

• Rapidly prototyped and scaled compliance architecture to production, deploying AWS Lambda microservices enabling enterprise acquisition

• Regulatory Compliance & Risk Management: Rebuilt legacy admin portal lacking access controls where all employees had withdrawal approval, developing secure RBAC system with admin API and audit logging within 1‐month deadline to achieve ISO/IEC 27001 certification and enable enterprise acquisition.

• Algorithmic Trading Infrastructure: Built trading ecosystem managing $1M AUM including 3 algorithmic bots with data collection, execution logic, and monitoring systems, achieving zero execution errors across 20M+ trades through automated monitoring and multi‐strategy execution.

• Platform Architecture & Scalability: Designed modularized trading architecture eliminating exchange‐specific rebuilds, reducing deployment from weeks to parameter configuration while enabling multi‐strategy execution across cryptocurrency exchanges.

• Real-Time Performance Monitoring: Built WebSocket API infrastructure handling 60+ concurrent connections for live performance monitoring, enabling rapid strategy adjustments generating 6% weekly profits during volatile periods through data‐driven decisions.

• Used React for front-end development

• Created Role-Base-Access-Control for company’s internal data

access from scratch

• Designed and implemented single table AWS DynamoDB for role

schema

• Used Express, Node.js and AWS-lambda for creating endpoints

• Developed express middleware to validate access to internal data

based on admin user roles

• Worked on developing AWS service libraries to access DynamoDB

and Cognito

• Refactored existing code base and improved the performance of

network speed

• Used Sequelize to create model and migrations for the data in

PostgresSQL