Work/Digital Platform
Case Study

DigitalPlatform

Role
Software Engineer
Timeline
2025
Type
Enterprise integration platform
Stack
TypeScriptTurboAzure FunctionsPrismaSQL Server
Replica Model - View actual screenshots and case study details belowReplica Model Only

Deployments

DEP-0041
backend-api
Sarah M.
Today14:32
Pass
v2.1.4
DEP-0040
frontend-web
John D.
Today11:18
Pass
v1.8.2
DEP-0039
auth-service
Alex R.
Today10:55
Pending
v3.0.1
DEP-0038
database-migrations
Emma T.
Yesterday09:45
Fail
v1.2.0
DEP-0037
api-gateway
Mike L.
Yesterday08:12
Blocked
v2.0.3

Showing 5 of 5

Live -
GitHub webhooks
Jira sync
Deployment mapping
Overview

A platform layer connecting engineering workflows into one view

Digital Platform was designed to reduce fragmented delivery context by linking pull requests, tickets, and deployment signals across tools teams already use.

Instead of relying on manual status updates, the system ingests events and builds an auditable view of work moving from change request to release.

3 systems
GitHub, Jira, and deployment events unified
Event-driven
Webhook-first architecture
Monorepo
Shared types and service boundaries
Problem

Delivery context was split across disconnected tools

Teams had to pivot between issue tracking, source control, and release data to answer simple workflow questions. This slowed handovers and made status reporting brittle.

"When delivery data is scattered, teams spend more time reconciling status than shipping improvements."

The objective was to centralize traceability with minimal manual effort while preserving each tool's native workflow.

Design

Designed for traceability and operational clarity

The interface and data model focus on relationships: ticket to pull request, pull request to deployment, and every entity to an audit trail.

This makes changes inspectable over time and helps technical and non-technical stakeholders understand delivery progress without deep tool expertise.

Engineering

Event orchestration with repository-level services

The backend uses Azure Functions and service-level modules to process webhook payloads and normalize domain events for persistence.

Prisma repositories and shared TypeScript contracts support predictable data access while keeping integrations modular and testable.

Challenge

Jira environments vary heavily with custom field configurations, creating brittle integrations.

Solution

Implemented configurable field mapping so the sync layer can adapt to different Jira setups without code rewrites.

Challenge

Deployment and pull request linking needed reliable traceability over time.

Solution

Modeled explicit relationship tables and immutable audit records to preserve historical context for each workflow transition.

TS
TypeScript
Shared contracts and services
Tb
Turborepo
Monorepo orchestration
Az
Azure Functions
Event processing runtime
Pr
Prisma
Data modeling and access
SQ
SQL Server
Persistent event data
GH
GitHub + Jira APIs
External integration layer
Lessons

What this platform sharpened

Digital Platform deepened my approach to integration architecture where reliability, observability, and flexibility all matter.

01
Mapping must be configurable from day one. Enterprise tooling varies by organization, so integration assumptions need to be externalized to configuration early.
02
Auditability is a product feature. Teams trust workflow automation more when they can inspect how and when data changed.
03
Service boundaries reduce integration risk. Keeping webhook parsing, mapping, and persistence concerns separated made troubleshooting and extension much safer.