Integrations & Cloud (AWS)

Bidirectional REST Python integration services on AWS Lambda & API Gateway, monitored with CloudWatch. Built for Chemistry domain and Enterprise clients

System IntegrationREST APIs & WebhooksOpenAPI / SwaggerOAuth2 / JWTPython (FastAPI, Pydantic)AWS Lambda & API GatewayAWS CloudWatchETL & Data Migration

A lot of my hands-on engineering is about connecting a SaaS platform to the messy reality of enterprise systems. From ELN, LIMS to ERPs CRMS and lab-instrument ecosystems. I not only scoped, but also implemented and delivered countless solutions.

Integrations

  • Designed and built bidirectional system integrations using Python, REST APIs, webhooks deployed on AWS serverless stack and adapted to the client needs.
  • Developed and maintained Python integration services connecting the platform to ERP, LIMS and lab-instrument ecosystems.
  • Built and published a Python SDK to speed up REST API consumption for both internal and client integration work.
  • Ran ETL and data-migration work to move clients off legacy systems, and delivered hands-on technical training to client dev and IT teams.

Cloud (AWS)

  • Deployed Python integration code to AWS Lambda for production execution, fronted by API Gateway.
  • Monitored and troubleshot production integrations with AWS CloudWatch, keeping live client integrations healthy.
  • Comfortable working across serverless and containers — Lambda, API Gateway, CloudWatch, S3, and ECS / Fargate, ECR and Aurora PostgreSQL, provisioned with Terraform.

How I approach it

Integrations are where designs meet the real world, so I keep them observable, well-specified (OpenAPI first), and cost-aware. The Pocket-Family project shows the same skills applied to a full multi-tenant AWS stack.