Tags: Databricks, GitOps
GitOps-Driven CI/CD for Databricks Pipelines: How KPI Partners Eliminated Configuration Drift and Automated Multi-Environment Deployments for a Global Consumer Data Technology Company
Unlock automated, audit-ready data pipeline delivery for your enterprise.
The Client
A global consumer data technology company providing data products, identity resolution, and marketing technology platforms to Fortune 500 brands. The organization operates large-scale data pipelines that ingest, transform, and distribute consumer data attributes across marketing and analytics ecosystems, managing 50+ Databricks jobs across multiple AWS-hosted environments serving hundreds of global enterprise clients.
The data engineering team required a modern, automated deployment model to eliminate manual deployment processes, configuration drift between environments, and the absence of automated data quality validation before production promotion.
Tools & platforms powering the solution
Since implementing the GitOps-based CI/CD pipeline with KPI Partners, our data engineering team has seen zero configuration-drift-caused pipeline failures, time-to-production for new pipelines reduced from 2-3 weeks to 2 business days, and every production deployment is now backed by a full, immutable audit trail on AWS.
Data Engineering Team
Global Consumer Data Technology CompanyStruggling with manual Databricks deployments, configuration drift, and no audit trail for data pipeline changes?
Let's talk about how KPI Partners can help you implement GitOps discipline, automate multi-environment pipeline delivery, and build a data quality gate before production.
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