An integration mesh across cloud, CRM, and messaging systems
Connecting GCP, Snowflake, Dataiku, Twilio, n8n, and Salesforce / Engaging Networks into one legible operating system.
role :: Integration architecture and delivery leadership
GCPSnowflakeDataikuBigQueryTwilion8nSalesforce / Engaging Networks
Context
A modern stack had accumulated tool by tool. Every pair of systems had its own glue, and every piece of glue had its own failure modes.
Problem
Point-to-point integrations multiplied faster than anyone could maintain them. Changes in one system caused surprises in three others.
Approach
- Mapped data contracts between systems before touching connectors.
- Standardized integration patterns: authentication, retries, idempotency, and logging.
- Used n8n as the orchestration layer with clear ownership of each workflow.
- Pushed analytical data into BigQuery and Snowflake so integration health itself was measurable.
Systems and tools
GCP, Snowflake, Dataiku, BigQuery, Twilio, n8n, and Salesforce / Engaging Networks.
Outcomes
- Integrations became a managed mesh instead of an archaeology project.
- New tools could join the stack in days, following established patterns.
- Metrics: [Pending approval - confirmed figures will be published here.]
Lessons
Integration work is strategy work in disguise. The way systems connect is the way the organization actually operates.
Confidentiality note: organization details are anonymized pending approval.