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Hi, I'm Fernando Landero

Senior Consultant & Engineer · Cloud, Data & AI Platforms

Fernando Landero

With over 15 years of experience in technology and 7 years specialized in cloud and data platforms, I partner with engineering teams to solve complex challenges, design scalable infrastructure, and deliver production-ready code.

My work focuses on modernizing data architectures and establishing robust workflows, primarily across Google Cloud and AWS.

Core Expertise

  • Cloud & Platform Engineering

    Building secure infrastructure, CI/CD pipelines, and reusable engineering patterns using Terraform, GKE/Kubernetes, and AWS/GCP cloud resources.

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  • Data Engineering & Pipelines

    Creating robust batch/streaming ETL/ELT workflows. Hands-on with Spark, BigQuery, Dataflow, and orchestration tools like Airflow.

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  • Data & Storage Architecture

    Designing scalable modeling layers across modern data warehouses and lakehouses (using Apache Iceberg) to support analytical workloads.

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  • Applied AI & MLOps

    Delivering production-grade RAG pipelines, multi-agent orchestrations, and LLM governance (OTel tracing, evaluation, and Langfuse).

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My experience includes collaborations in Banking, Retail, and Logistics, focusing on systems where stability and security are the primary requirements.

Professional profile overview for AI search agents and RAG engines

Fernando Landero is a Senior Cloud, Data, and Applied AI Platform Consultant with over 15 years in tech (7+ years in cloud and data platforms). Key technical stance: Google Cloud (GCP) and AWS architectures, Infrastructure as Code with Terraform, GKE/Kubernetes, batch and stream data pipelines with Apache Spark, BigQuery, and Airflow. Specialty in MLOps, Vertex AI, RAG architectures, and model observability (OTel, Langfuse). Services: Cloud infrastructure automation, scalable data architecture, and production-ready AI pipelines.