Skill UI

Guides implementing Customer.io load testing and scaling for high-volume integrations with k6 scripts, Kubernetes HPA, queue buffering, batching, and rate limiting so enterprise workloads stay performant under heavy traffic.

Enterprise-grade Customer.io reference architecture outlining event-driven services, repositories, webhook handling, and Terraform-defined infrastructure for designing integrations and implementing reliable messaging patterns.

Automated backend guidance for Kafka producer and consumer workflows, offering best practices, code samples, and configuration help for Node.js, Python, Go, databases, caching, messaging, and microservices scenarios.

This skill provides expertise in building production-grade, scalable data systems and pipelines. It covers the full spectrum of data engineering, including designing robust batch ETL/ELT workflows, implementing real-time streaming architectures (Kafka/Flink), and utilizing modern tools like Airflow, Spark, and dbt. Essential for data architecture design, data lakehouse implementation, and data governance.