Data and AI studio · Panama and Latin America
contacto@metryanalytics.com+502 3989-1833ES / EN

The technical foundation, tailored to your operation.

II Platforms

We integrate the systems that don't talk to each other today into a unified, secure platform that's economical to run. We design for your business's volume and decisions, not for a vendor catalog.

AWSS3AthenaGlueAirflowAirbytedbtPython

Services

4 servicios

Internal platforms

Modern data lake or warehouse: ingestion, transformation, secure storage and consumption layers.

Deliverables
  • Reference architecture
  • Ingestion and transformation pipelines
  • Governed semantic layer
  • Role-based security and access

Service unification

We consolidate scattered sources into a single version of reality, with standardized access.

Deliverables
  • Unified data model
  • Transactional systems integration
  • Access APIs
  • Duplicate removal

External platforms

Secure data exchange with customers, suppliers and partners.

Deliverables
  • Exchange portals
  • Third-party APIs
  • Secure multi-tenant architecture

Platform operations

Ongoing administration: monitoring, pipeline observability, cloud cost control and incident management.

Deliverables
  • Monitoring and alerts
  • Cost dashboard
  • Incident management
  • Continuous improvement
In code

Pipelines versioned and tested.

Ingestion and transformation live in code: they are reviewed, tested and deployed like any other software.

from airflow.decorators import dag, taskfrom datetime import datetime @dag(schedule="0 5 * * *", start_date=datetime(2026, 1, 1), catchup=False)def ingesta_diaria():     @task    def extraer(tabla: str) -> str:        # Incremental copy from the ERP into the data lake        return erp.exportar(tabla, destino="s3://lake/raw/")     @task    def transformar(rutas: list[str]) -> None:        dbt.build(select="marts")     rutas = extraer.expand(tabla=["ventas", "inventario", "compras"])    transformar(rutas) ingesta_diaria()
PYTHON · 19 lines● main · reviewed
Architecture

From the source system to the decision.

SOURCESINGESTIONSTORAGEMODELINGCONSUMPTIONERPsales · purchasingPoint of saleticketsCRMcustomersFilesexcel · csvIngestionairbyte · airflowData lakes3 · athena · glueModelingdbt · sqlDashboardspower biAI assistantsnatural languageAPIsinternal systems

Questions we answer

Cloud or on-premise?

We choose based on your volume, your systems and your operating budget.

What about what we already have?

We start from your current systems; we replace only what blocks you.

Who runs it afterwards?

Your team, with our knowledge transfer, or us with ongoing operations.

Do you have a data or AI challenge?

contacto@metryanalytics.comLet's talk