Analytics stack
transformations in practice.

Examples of the work Platinur is built for: separating reporting from product systems, modernizing unreliable pipelines, and leaving teams with a cleaner analytics foundation.

Reporting Modernization 01 // LATAM

Separating finance reporting from core systems.

The Problem

Reporting logic had been built directly against operational finance systems. Every new stakeholder request added pressure to the backend, reconciliation logic was hard to trust, and even small reporting changes needed engineering involvement.

The Solution

Platinur redesigned the reporting flow into a dedicated analytics stack: warehouse ingestion, tested transformation models, clearer business logic, and orchestration that removed reporting load from the core product systems. The result was cleaner ownership and safer iteration.

4x

Faster Reporting Changes

15m

Refresh Cadence

The Problem

A logistics team was operating across multiple regional data silos, with brittle ETL jobs and ad hoc SQL stitched together over time. Definitions drifted between teams, dashboards disagreed, and weekly fixes became normal.

The Solution

Platinur consolidated ingestion into a proper warehouse, introduced a dbt-style transformation layer, and established orchestration and documentation standards so shared reporting logic lived in one maintainable place instead of scattered scripts.

4

Regions Unified

1

Trusted Model Layer

Operations Analytics 02 // EMEA

Untangling fragmented regional reporting.

Transformation Patterns

Practical patterns for moving from fragile reporting workflows to maintainable analytics systems.

dynamic_feed

Modernizing the dbt Stack

Transitioning from monolithic models to modular, test-driven dbt environments. We focus on state-management, documentation-as-code, and reducing CI runtimes by up to 80% through incremental strategies.

SQL Refactoring CI/CD Optimization
precision_manufacturing

Resilient Ingestion

Building ingestion and alerting patterns that survive schema drift, late-arriving data, and source instability without turning every failure into manual cleanup.

Pattern Specs arrow_right_alt
security

Governance That Stays Usable

Applying testing, documentation, ownership, and access controls without making the stack harder to work with.

Reliable Delivery Standards
architecture

Legacy Refactoring

Moving teams off backend-coupled reporting, ad hoc scripts, and brittle ETL into a cleaner warehouse, transformation, and orchestration model without forcing a risky big-bang rewrite.

Target Stack

  • Warehouse Layer
  • Transformation Models
  • Orchestration + BI

What the work is designed
to leave behind.

Platinur is brought in to leave teams with cleaner architecture, clearer logic, and a stack that is easier to change after delivery, not harder.

Book Architecture Review Read Field Notes
Reliable

Reporting teams can trust

Cleaner

Pipelines with less debt

Faster

Implementation accelerated with AI

Documented

Logic your team can extend