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Hi, I'm Fernando Landero

Fernando Landero

Senior Data Engineer specialized in DataOps, MLOps and AI on Google Cloud Platform (GCP). With 7+ years of experience, I bridge the gap between traditional data engineering and production-grade AI. I architect Serverless Lakehouses using Apache Iceberg and BigLake, optimizing infrastructure and delivery for enterprise clients.

I transform complex data environments into Data Mesh and Medallion architectures, implementing high-performance MLOps workflows to operationalize Machine Learning and Generative AI (RAG/LLMs) at scale.

Professional Experience

  • Modern Data Engineering: Expertise in Apache Iceberg, Dataflow, and BigQuery. Building unified Kappa architectures that prioritize Open Data Formats (Parquet/Avro) for cross-engine interoperability.
  • MLOps & GenAI: Operationalizing the model lifecycle using Vertex AI, specializing in RAG systems and automated pipelines for LLM deployments.
  • Cloud Architecture & Quality: Utilizing Terraform (IaC) and the Astral toolchain (uv, ruff) to ensure secure, type-safe, and cost-effective GCP deployments.

I remain focused on the evolution of data engineering, exploring the use of autonomous agents and automation to solve complex business challenges.