WorkJanuary 1, 2024

Data Team Workflow: Agile, CI/CD, and Time-to-Market Optimization

Data Engineering

Octave Olivetti

Project Notes (full article to be written)

Source: Luxury beauty brand - Development team workflow (Jira, Confluence, CI/CD) Context:

Organization and implementation of development with data delivery manager and data engineers
Implementation of agile and kanban processes for data teams
Management of priorities and business requests

Technologies:

Project Management: Jira, Confluence
CI/CD: GitLab CI / GitHub Actions
Infrastructure: Terraform (IaC)
Orchestration: Airflow
Version Control: Git

Implemented Processes:

Development and deliverable quality tracking
Implementation of automated testing and CI/CD for data development
Time-to-market and delivery velocity optimization
Code review culture (100% of changes reviewed)
Dev/Staging/Prod environment strategy

Results:

Production incidents: 2-3 failures/week → <1 failure/month (95% reduction)
Deployment time: 2 hours manual → 5 minutes automated
Team onboarding: 2 weeks → 1 day
Testing coverage: 80% of pipelines have automated tests

Related projects

Customer 360°, data pipelines, cross-channel activation, segmentation, business-optimized privacy all delivered in production at scale for retail and luxury.

38M+

Contacts Managed

€5B+

Managed Revenue

32+

Countries

7+

Years CDP Expertise

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