Architecture
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User Analytics Data Pipeline
End-to-end data flow for collecting, enriching, aggregating, and scoring user events — web and mobile sources feeding into ML and metrics stores. Reference pattern for any product analytics or telemetry pipeline.
E-commerce Database Schema
Relational schema for a typical e-commerce platform: customers, products, orders, line items, payments, and addresses. Solid foundation for any retail or marketplace backend.
GCP Data Analytics Platform
End-to-end analytics stack on Google Cloud: Pub/Sub ingest, Dataflow transformation, BigQuery warehousing, Looker visualization. Modern lakehouse pattern with orchestration via Cloud Composer.
Real-time Data Pipeline on AWS
Streaming ingestion and analytics using Kinesis, Lambda, DynamoDB, and Redshift. Captures events, processes in real-time, archives for historical analysis. Ideal for telemetry, analytics, and monitoring workloads.
Kubernetes Microservices
Container-native microservices running on Kubernetes with ingress routing, per-service databases, shared cache, and async messaging. Production-ready pattern for containerized workloads at scale.