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Hi, I'm Fernando Landero · Senior Consultant & Engineer

I build data, cloud and AI platforms

I design architectures, write production code and automate platforms on Google Cloud, AWS and private cloud. This is where I publish my projects, comparisons and tools.

See my work Send an email

Fernando Landero
  • 15+ Years in systems architecture & cloud engineering, the last 7 focused on enterprise data platforms.
  • Multi-Cloud GCP, AWS and private cloud platforms defined as code and guarded by automated policy.
  • Regulated Data Banking, energy and retail systems with PII isolation and auditability.
  • 1,100+ Models Production dbt models & 200+ extractors running on one Kubernetes data platform.

Core expertise

  • Applied AI & MLOps

    I build agent workflows for clients: multi-agent loan evaluation with LangGraph on GCP, with token cost telemetry, and Gemini agents on Cloud Run with session state.

    Read the AI work

  • Cloud & Platform Engineering

    I build cloud foundations as code: multi-project GCP landing zones in Terraform, zero-trust CI/CD and policy checks before a change applies.

    Read the architecture decisions

  • Data Engineering & Pipelines

    I operated a platform with 200+ extractors and 1,100+ dbt models for eight business units, with data isolation, backups and cloud cost optimization.

    Read the platform experience

  • Data & Storage Architecture

    I model data and choose where it lives: Data Vault 2.0 and dimensional models, BigQuery warehouses and open-table lakehouses, decided by schema changes, concurrent writers and recovery.

    Compare lakehouse table formats

Interactive Tools

Try a failure scenario, replay an agent crash or size an evaluation. These tools run in your browser with examples you can change.

  • Failure Lab · Pipeline Simulator

    Pause a worker or interrupt writes, then inspect the recovery. Compare retry policies against the same simulated incident.

    Open Failure Lab

  • Table Files · Compaction Planning

    Estimate how many files a table keeps from its daily volume, commit rhythm and partitioning, before and after compaction.

    Open Table Files

  • Agent Replay · Crash Recovery

    Crash an agent between a write and its checkpoint, then compare four recovery strategies and see which ones apply the write twice.

    Open Agent Replay

  • Eval Statistics · Error Bars

    Put an interval around a pass rate before trusting it, then size a comparison between two variants.

    Open Eval Statistics

Contact

If you want to talk about data, cloud or AI, write to me or book a call. I'm in Caracas (UTC-4) and speak English and Spanish.

Send an email Book a call