Data engineering · Google Cloud

From raw data
to decisions.

Coabana is a data engineering studio specialized in Google Cloud. We design, build and operate the platform that turns your data into results: reliable pipelines, clear analytics and agents grounded in your own information.

Let's talk about your project See services
Built on
  • BigQuery
  • Dataflow
  • Cloud Composer
  • Looker
  • Knowledge Catalog
  • and more →

The name

A great, fertile land

“Coabana” comes from the Taíno language: a great place of fertile land — one of the attributed origins of the name of Cuba. We like to think about data the same way: land that produces when it is well cultivated.

Coabana is a studio founded by Roanny Lamas, a Data Engineer specialized in Google Cloud. We offer end-to-end data engineering services: from the initial architecture to the day-to-day operation of your platform.

Caribbean roots, global standards

Warm and clear in communication; rigorous engineering in every build.

Specialists, not generalists

We do one thing: data platforms on Google Cloud. And we do it well.

End to end

From the first architecture conversation to monitoring in production.

Services

What Coabana does for your data

Clear engagements with concrete deliverables — from a focused advisory session to the full platform.

Data platforms on BigQuery

Design and build of your warehouse or lakehouse: layered modeling, open formats with BigLake, security, and costs under control from day one.

  • BigQuery
  • BigLake
  • Cloud Storage

Batch & streaming pipelines

Reliable ingestion and transformation: CDC replication from your operational databases, real-time events and processing at scale.

  • Dataflow
  • Pub/Sub
  • Datastream

Orchestration & modern ELT

Orchestrated workflows and SQL transformations that are versioned, tested and documented — your platform treated as a software product.

  • Cloud Composer
  • Dataform

Data governance & quality

Catalog, lineage, business glossary and automated quality rules: every table with an owner, every metric with a single definition.

  • Knowledge Catalog
  • Sensitive Data Protection

Analytics & BI

Semantic models and dashboards the business actually uses, with consistent metrics across the company.

  • Looker
  • Data Studio

AI & agents on your data

Conversational agents and automations anchored to your platform: ask your data questions in natural language, with governed answers.

  • Gemini Enterprise Agent Platform
  • BigQuery ML

We build the foundations for your entry into the agentic era.

Tooling

The Google Cloud data portfolio, up to date

From ingestion to agents, the services we build with — and what each one is for.

Ingestion

  • Pub/Submessaging and events
  • DatastreamCDC and continuous replication
  • Storage Transfer Servicebulk transfers

Processing

  • Dataflowbatch and streaming (Apache Beam)
  • DataprocSpark and the Hadoop ecosystem
  • DataformELT with versioned SQL

Warehouse & lakehouse

  • BigQuerythe analytical core
  • BigLakelakehouse and open formats
  • Cloud Storagedata lake

Orchestration

  • Cloud Composermanaged Airflow
  • Workflowsserverless orchestration
  • Cloud Schedulermanaged cron

Governance

  • Knowledge Catalogcatalog, lineage and quality formerly Dataplex Universal Catalog
  • Sensitive Data Protectionclassification, masking and de-identification formerly Cloud DLP

BI & visualization

  • LookerBI and semantic layer
  • Data Studioself-service dashboards formerly Looker Studio

AI & agents

  • Gemini Enterprise Agent Platformend-to-end agents and ML formerly Vertex AI
  • Gemini Enterpriseenterprise assistant and search
  • BigQuery MLmachine learning with SQL

Yes, some of these just changed names again. Staying current is part of the service.

Method

How we work

  1. 01

    Discovery

    We understand your business, your sources and the decision you want to enable. No jargon, measurable goals.

  2. 02

    Architecture

    Platform design and a phased plan, with Google Cloud cost estimates before writing a single line.

  3. 03

    Build

    Short iterations with usable deliveries: infrastructure as code, CI/CD and documentation from the start.

  4. 04

    Operate & evolve

    Monitoring, cost optimization and coaching for your team so the platform lives and grows.

The founder

Behind Coabana

I'm Roanny Lamas, a Data Engineer specialized in the Google Cloud data ecosystem. I founded Coabana to offer, under its own name, what we do best: data platforms that are well designed, well built and well operated.

We work end to end: architecture, pipelines, governance, BI and agents. If your project lives on Google Cloud — or wants to move there — let's talk.

My CV / portfolio Personal GitHub LinkedIn Coabana on GitHub Coabana on LinkedIn

Contact

Let's talk about your project

Tell us what you want to achieve with your data and we'll reply with concrete next steps — no strings attached.

Send us an email roannylamaslopez@gmail.com LinkedIn Connect with the founder GitHub Explore Coabana's code