Alex D.

About Alex D.

I’m a Staff Software Engineer focused on backend, platform, experimentation, data, and AI-driven automation.Over the past 15+ years, I’ve built and scaled production systems across e-commerce, logistics, operations, and internal platforms. My work spans backend architecture, cloud systems, enterprise integrations, experimentation infrastructure, operational tooling, and data pipelines.At Double Good, I’ve led and contributed to initiatives across ERP and logistics integrations, experimentation platform adoption, AI-powered workflows, data engineering, internal operational tools, and platform reliability. I work best on ambiguous, cross-functional problems that require technical depth, system design, and practical execution.I’m especially interested in roles where I can combine platform engineering, AI automation, product thinking, and architecture to build high-leverage systems that improve real business workflows.Core areas- Backend and platform engineering- AI automation and applied LLM systems- Experimentation and product measurement- Data pipelines and analytics foundations- Enterprise and operational integrations- AWS cloud architecture and scalable services

Experience

1. Staff Software Engineer

   Double Good

   Aug 2019 — Present · Chicago, IL, US

   At Double Good, I work on backend, platform, experimentation, data, and AI-driven initiatives for a high-traffic e-commerce platform. My work has focused on operational integrations, experimentation infrastructure, internal tooling, observability, and scalable cloud services- Led architecture and delivery of ERP and logistics integrations, including Microsoft Dynamics 365 and shipping platform integrations, improving operational reliability and data flow across business systems- Drove adoption of experimentation capabilities using Statsig, contributing to metrics integration, power analysis, and guardrail measurement foundations for broader A/B testing maturity- Developed internal operational tools and Retool-based systems for order management, error handling, and troubleshooting, improving efficiency for business and support teams- Built and improved data pipelines and transformations using Snowflake, dbt, and Fivetran to strengthen analytics and business intelligence workflows- Improved platform observability through error monitoring dashboards, incident response support, and operational visibility across production systems- Contributed to platform performance, reliability, and engineering quality through improved testing practices, CI/CD, and backend optimization- Built and explored AI-powered workflows and LLM-based integrations to automate internal processes and improve engineering and operational efficiency.Tech: TypeScript, Node.js, PostgreSQL, DynamoDB, Snowflake, dbt, Fivetran, AWS, Terraform, Statsig, Retool, OpenAI, LLM workflows, D365 ERP, ShipStation, ShipEngine

Education

• Kharkiv National University of Radio Electronics

  Bachelor's degree, Computer Science

  2003 — 2005