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Hi, I'm Fernando Landero

Fernando Landero

Senior Data Engineer specialized in MLOps and AI on Google Cloud Platform (GCP). With 6+ years of experience, I bridge the gap between traditional data engineering and production-grade AI, optimizing infrastructure costs and streamlining data delivery for enterprise clients in Banking, Retail, and Logistics.

I transform complex data environments into Data Mesh and Lakehouse architectures, implementing MLOps workflows to operationalize Machine Learning and Generative AI (LLMs) at scale.

Professional Experience

  • Data & AI Engineering: Hands-on experience with BigQuery, Dataflow, and Cloud Composer. Currently developing RAG systems and optimizing data pipelines for LLM fine-tuning and Prompt Engineering.
  • MLOps & Automation: Operationalizing the model lifecycle using Vertex AI, including governance, feature stores, and automated CI/CD pipelines for reliable deployments.
  • Cloud Architecture: Utilizing Terraform (IaC) to design secure, cost-effective, and scalable GCP patterns for massive-scale data processing.

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