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davidtandoh/README.md

👋 Hey, I'm David

I build production-grade systems that sit at the intersection of data engineering, backend platforms, and product.

Most days you'll find me:

  • Designing scalable data pipelines (Spark, Airflow, Snowflake, Kafka, Databricks)
  • Shipping backend services in Kotlin / Spring Boot
  • Building cross-platform products with Flutter and Next.js
  • Wiring up payment flows, multi-currency pricing, and marketplace infrastructure
  • Coordinating multi-repo systems (backend → cloud functions → mobile → web)
  • Obsessing over clean abstractions, idempotency, and systems that don't page you at 3am

Currently building: An experience marketplace platform end-to-end — Kotlin/Spring Boot APIs(hosted on Cloud Run), Firebase Cloud Functions, Data Connect, Flutter mobile app, and a Next.js web client — with real-time bookings, ticketing, and international payment processing.

Infra - Terraform, GCP

AI-Native Development

I write code with Cursor, Claude Code, and OpenAI Codex as core parts of my workflow — not as autocomplete, but as genuine force multipliers:

  • Cursor as my primary IDE — inline AI assistance for rapid iteration across Kotlin, Dart, TypeScript, and React
  • Claude Code as a pair programmer for complex, multi-repo tasks — I architect the plan, then execute full-stack features spanning 4 codebases in a single session (backend → cloud functions → mobile → web)
  • OpenAI Codex for autonomous task execution and parallel workstreams
  • AI-assisted cross-codebase debugging — tracing issues across service boundaries (e.g. tracking why a Firestore document isn't created from Spring Boot through Cloud Functions to the mobile client)
  • AI-driven merge conflict resolution on complex domain logic files
  • Comprehensive PR generation with structured descriptions across multiple repositories

I treat AI tooling the way I treat any good infrastructure: learn its strengths, set clear boundaries, and let it handle the throughput while I focus on the architecture and product decisions.

I care deeply about robustness, clarity, and shipping things that actually get used.

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