Post Merger IT Integration That Turned Two Fragmented Data Environments Into a PE-Ready Platform

Post-Merger Pipeline Unification: eliminating the revenue reconciliation burden before anything else

The first engineering constraint was sequence. Revenue pipelines from both legacy organizations needed to converge before any governance or infrastructure work could be trusted.

1. Running two separate pipeline stacks meant reconciliation happened manually, late in the cycle, after data quality problems had already propagated into partner disbursements.
2. Ideas2IT migrated legacy revenue flows into the unified Snowflake platform using dbt-modeled transformation layers, built automated reconciliation checks that ran after every pipeline execution, and eliminated the redundant manual ingestion steps accumulated on both sides of the merger.
3. Prefect orchestrated the new unified DAG architecture. Data quality validation moved from the reporting layer, where failures were visible to partners, to the ingestion layer, where failures were quarantined before travelling downstream.

Deliverables

• Unified Snowflake revenue pipeline consolidating both legacy data streams
• Automated post-run reconciliation checks between source and target systems
• dbt transformation models replacing inconsistent legacy data preparation logic
• Prefect DAG architecture unifying orchestration across both legacy environments
• Ingestion-layer data quality quarantine for failed and incomplete records
• Elimination of redundant manual ingestion steps across the merged operation

Governance and Security Foundation: making the merged platform governable and auditable for the first time

With revenue pipelines stabilized, the governance and security layer could be built on a foundation that was no longer moving. The absence of data ownership definitions meant that when a revenue figure was wrong, no one could trace it. When a partner questioned a payment, there was no audit trail.

Ideas2IT implemented

1. a data governance framework defining ownership, naming conventions, and lineage tracking across the merged entity.
2. Environment boundaries between development and production, which had not been enforced, were separated through distinct infrastructure, credentials, and storage.
3. Role-based access controls were applied platform-wide. Monte Carlo was deployed to surface data quality failures inside the pipeline rather than at the partner reconciliation stage.

Deliverables:

• Data governance framework with defined ownership and naming conventions
• Lineage tracking across ingestion, transformation, and reporting layers
• Fully isolated dev and production environments with separate credentials and storage
• Role-based access controls enforced across all platform components
• Monte Carlo observability deployment for ongoing pipeline data quality monitoring
• Audit trail infrastructure supporting partner dispute resolution and compliance

CI/CD Consolidation: collapsing two redundant deployment systems into one governed pipeline

Both legacy organizations had brought their own CI/CD pipelines, environment configurations, and deployment tooling into the merged entity. Post-merger, both sets ran simultaneously with overlapping components, driving unnecessary infrastructure cost, environment inconsistency, and maintenance burden on senior engineers whose capacity was already constrained.

Ideas2IT rationalized the redundant infrastructure into a single deployment pipeline with automated quality gates across all environments. Terraform formalized the infrastructure-as-code configuration, making the consolidated pipeline reproducible and auditable.

The consolidation freed senior engineering capacity from pipeline maintenance and directed it toward platform improvement aligned with the PE firm's growth roadmap.

Deliverables:

• Single consolidated CI/CD pipeline replacing two redundant legacy systems
• Automated quality gates enforced across all deployment environments
• Terraform infrastructure-as-code formalizing the consolidated environment configuration
• Environment consistency across development, staging, and production
• Reduced infrastructure cost from elimination of overlapping pipeline components