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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 technology, the last 7 on cloud and data platforms.
  • GCP · AWS · private cloud architectures defined as code and checked by policy.
  • Banking · Retail · Energy with auditability and data isolation as strict constraints.
  • 9 comparisons · 5 tools published with primary sources and review dates.

Selected Work

Open source · Zsh

ZDX, a developer suite for Zsh

251 fzf-powered commands across 15 suites for Git, CI, Docker, Python and AI tooling, with dry runs and confirmations before changes.

251 commands 15 suites MIT v0.1.0

View on GitHub

zdx          # browse every suite
dev-menu     # open one suite
zdx doctor   # check dependencies
  • Comparison Open-source object storage, compared Eight S3-compatible servers compared on fit, maintenance and S3 limits, each with a dated 1–5 rating and the recovery checks to run first.
  • Interactive tool Failure Lab Replay a queue incident and compare two retry policies against the same failure, entirely in your browser.
  • Radar Tech Radar Ten dated upstream developments, each with adoption conditions and the tests I would run before adopting it.

All nine comparisons · All five tools · Production Blueprints · Open source

Core Expertise

  • Applied AI & MLOps

    Evaluable, traceable AI workflows: RAG retrieval, stateful agent orchestration, and explicit controls over tools and execution.

    Explore Research Labs

  • Cloud & Platform Engineering

    Repeatable deployments with clear access and operational boundaries: infrastructure as code, automated delivery, and policy checks across cloud platforms.

    See Production Blueprints

  • Data Engineering & Pipelines

    Turning incoming data into usable datasets through batch and streaming processing, transformation, orchestration, and pipeline recovery with Spark, dbt, and Airflow.

    See the Data Engineering stack

  • Data & Storage Architecture

    Consistent analytical foundations: dimensional models, data contracts, and storage choices across data warehouses and open-table lakehouses.

    Compare lakehouse table formats

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