What I shipped
- Architected a fault-tolerant distributed pipeline processing 150 GB/day across 4 teams (AWS SQS / S3 / ECS, MongoDB, Docker, Jenkins) at 99.95% availability.
- Cut reprocessing overhead 15% and infra costs $3K/month; built Looker Studio dashboards on BigQuery cutting defect resolution time 29%.
- Designed event-driven microservice architecture — 150M+ events/month at 99.9% uptime, 50K events/min peak — via partitioning and async processing.
- Engineered reusable microservice templates and DDD patterns adopted by 6 teams — feature dev time 2 days → 3 hours, scaling 12+ services independently.
- Resolved 50+ critical production incidents using Grafana + Kubernetes + Slack alerting, decreasing escalations 30%.
- Engineer of the Quarter, Q3 2024 — recognized for backend optimizations that lifted data throughput 35%.
Stack
AWS 
Python 
MongoDB 
Docker 
Kubernetes 
Jenkins 
BigQuery 
Grafana AWS Python MongoDB Docker Kubernetes Jenkins BigQuery Grafana
Python MongoDB Docker Kubernetes Jenkins BigQuery Grafana AWS Python MongoDB Docker Kubernetes Jenkins BigQuery Grafana