Tomas Hidalgo Martín

- Event-driven webhook queue architecture (+1M events/day). We designed and implemented an event ingestion system using Terraform to provision an HTTP API Gateway that enqueues incoming requests into SQS. Messages are processed in batches (custom batchSize) by a Lambda consumer that performs bulkWrite operations into MongoDB.

This architecture allows us to handle over 1M events per day in a write-heavy system (more writes than reads) without impacting our main API during unpredictable traffic spikes. By decoupling ingestion from processing, we achieved high concurrency, zero event loss during peaks, and a cost-efficient, horizontally scalable solution for a traffic pattern we initially couldn’t predict.

- Webhook queue implementation (300k/day). We implemented a webhook processing queue using SQS to reliably enqueue and process over 300,000 Shopify webhooks per day, improving concurrency and avoiding drops during peak traffic.

- API refactor from Javascript and migration to TypeScript. We fully refactored our API from JavaScript to TypeScript following a clean hexagonal architecture and DDD (Domain Driven Design). After migrating our modules, domain logic, and test suite to Bun + TypeScript, our test execution time decreased by more than 80%, and our CI pipelines became up to 50% faster.

- Backup and data-retention policy. We designed and deployed a new backup and retention strategy using MongoDB TTL indexes and archival layers to significantly reduce database size, index usage, and overall storage cost while keeping compliance and data accessibility.

- Infrastructure migration to Kubernetes. We migrated from AWS ECS/ECR/EC2/Fargate to a dedicated Kubernetes cluster with multiple worker nodes and one container per pod. This migration drastically reduced infrastructure costs while improving horizontal scalability, deployment consistency, and overall performance.

- Migration to an Hexagonal Architecture in a agriculture project. The goal was uncouple Django architecture, because this framework uses Active Record and we want to use a framework with Data Mapper.

- Creating and developing frontend web using NextJS for our shoes brand.

- Mentoring several Juniors in both projects that I am involved. I was teaching them some patterns designs, differents ways to be a better developer and discussing a lot of ways for new features.

Stack: Python · Django · PostgreSQL · Kafka · Kubernetes · Docker · AWS · GitLab CI/CD

- Migrated core platform from MVC to Event-Driven Architecture using RabbitMQ, improving service decoupling and resilience under load.

- Integrated email, carrier, and insurance third-party services into a NestJS REST API, improving reliability and reducing integration failures.

- Built stock control module and marketplace integration with backoffice systems.

Stack: NestJS · Node.js · TypeScript · MongoDB · RabbitMQ · Kubernetes · Docker · Jest · Jenkins · Google Cloud