Marketing automation & systems engineering

Marketing systems that work—and keep working.

I design, integrate, and maintain lifecycle automation across customer data, APIs, and production infrastructure.

14marketing platforms
3brands validated in one integration
88/88live regression checks passing

A few systems I’ve helped make reliable.

Client and product names are intentionally withheld. The responsibilities and verified outcomes are real.

01Lifecycle automation

Multi-brand marketing automation

Connected behavioral events to a lifecycle platform while protecting the consent state of every contact.

Verified result9 paths validated across 3 brands
  • n8n
  • Attentive
  • Webhooks
  • REST APIs
Sanitized sampleFictional data
EventBrowse activity
GuardConsent check
RouteLifecycle event
All routes passedConsent-safe
Read the approach
Context

A multi-brand ecommerce operation needed browse, cart, and session activity to reach its lifecycle platform without accidentally re-subscribing opted-out contacts.

Approach

Built webhook workflows with explicit contact-state routing, custom events, and fail-safe error handling.

02Production systems

Live publishing platform operations

Managed migrations, releases, and production checks for a live multi-tenant publishing platform.

Verified result12 properties migrated · 88-page regression guard
  • Linux
  • AWS
  • PostgreSQL
  • PM2
  • Cloudflare
Sanitized sampleFictional labels
Gateway42ms
Publisher57ms
Queue42ms
Workers57ms
Release healthy88 / 88 checks
Read the approach
Context

The platform needed ongoing improvements and careful migrations without disrupting active users.

Approach

Handled account and domain migrations, tracking fixes, guarded refactors, rolling deployments, and regression protection.

03Data automation

Resumable enrichment pipeline

Turned a long-running enrichment job into a reliable process that could stop, recover, and continue safely.

Verified result1,500+ rows processed in restart-safe batches
  • Google Apps Script
  • REST APIs
  • Data QA
Sanitized sampleFictional records
northstar-demo.testEnriched18 signals
fieldnote-labs.testEnriched24 signals
harbor-sample.testRetried30 signals
Checkpoint savedResume: row 1,536
Read the approach
Context

A large spreadsheet needed third-party web intelligence without reprocessing completed rows or losing progress.

Approach

Created API-driven batches with deduplication, retries, checkpoints, scheduled runs, and secure credentials.

Cloud automation operations

Backup-first upgrades, container health checks, and incident investigation for a production workflow platform.

Marketing performance reporting

Decision-ready lifecycle reporting with practical diagnosis of data, personalization, and conversion issues.

Product systems architecture

Production foundations for multi-tenant analytics and real-time commerce products.

Lifecycle automation is the core.

Deepest in Klaviyo, with hands-on experience across ecommerce, CRM, newsletter, and outreach platforms.

Primary specialization

Klaviyo flow management

Journey planning, implementation, segmentation, QA, troubleshooting, reporting, optimization, and integrations.

Lifecycle & ecommerce

  • Klaviyo
  • Attentive
  • Listrak
  • Patch Retention
  • Yotpo
  • Remarkety
  • Drip

CRM & enterprise

  • HubSpot
  • Salesforce Marketing Cloud
  • Mautic

Email & outreach

  • Mailchimp
  • Constant Contact
  • beehiiv
  • Instantly.ai
Pythonn8nREST APIsWebhooksSQLApps ScriptDockerLinuxPostgreSQL

Practical engineering. Careful operations.

01

Build for reliability

Validation, retries, logging, and backups are part of the work.

02

Understand the system

I trace how people, platforms, and data interact before automating.

03

Leave it maintainable

The next owner should be able to understand and operate the solution.

Need a journey, integration, or system to work better?

I’m open to remote roles and professional conversations.

Email Jeric