Cloud platform engineering
Serverless ingestion, Pub/Sub flows, GKE services, Terraform delivery, and production-grade GCP architecture.
Senior Backend Engineer
I build Java, Spring Boot, GCP, and Azure backend systems for high-volume data processing, low-latency APIs, and reliable enterprise platforms.
- 01Java serverless ingestion pipelines on GCP
- 02Spring Boot, gRPC, and microservice orchestration
- 03Redis caching, BigQuery, Spanner, and Pub/Sub
- 04Performance tuning for 100k+ concurrent users
request.flow
140k+ RPS
API
Gateway
Queue
10+ TB/day
Workers
GCP + Azure
Shards
Spanner / SQL
redis hit /storeops/:id
publish pubsub.inventory
rebalance stream partition
query cost reduced 12k
01
Cloud data systems
GCP Cloud Functions, Pub/Sub, Spanner, and BigQuery pipelines.
02
Enterprise backend
Java, Spring Boot, gRPC, JWT, and multi-service orchestration.
03
Performance
Redis caching, query optimization, and high-traffic readiness.
Systems Expertise
Backend engineering across retail, fintech, pharmacy, and blockchain platforms.
Distributed backend systems
Spring Boot middleware, gRPC services, JWT authentication, locking, orchestration, and consistency patterns.
Data performance
BigQuery partitioning, Redis write-through caching, CosmosDB contention reduction, and query cost optimization.
Selected Backend Work
Production systems delivered for large-scale retail, financial, and pharmacy platforms.
01
Macy's StoreOps Data Platform
Architected Java serverless ingestion pipelines processing 10+ TB daily data, reducing write latency by 70% and BigQuery costs by $12k+ per month.
- Java
- GCP
- Pub/Sub
- BigQuery
02
Digital Asset Middleware
Built Java 11/Spring Boot middleware with DAML bindings for US municipal bond issuance, including atomic locking and low-latency ACS queries.
- Java 11
- Spring Boot
- DAML
- gRPC
03
Pharmacy BFF & Caching Layer
Implemented Redis write-through caching and led a BFF orchestration layer across 6+ services, cutting terminal latency from 2.8s to under 900ms.
- Azure
- Redis
- CosmosDB
- Microservices
Live Projects
Deployed projects you can open, inspect, and test.
Two recent builds presented as live app windows, with source available for review.
Built for high-volume production systems.
My work focuses on the backend paths that matter most under pressure: ingestion latency, query cost, cache strategy, transaction safety, and service orchestration.
write latency
-70%
peak traffic
140k+
query savings
$12k+
$ deploy storeops-ingestion
✓ pub/sub pipeline processing 10+ TB/day
✓ redis cache sustaining 140k+ RPS
→ bigquery partition strategy verified
