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Hi, I'm Fernando Landero

Fernando Landero

Building Cloud Platforms, Data Architecture, and Production AI Solutions. My focus is helping teams evolve beyond legacy or fragmented environments to build scalable architectures that hold up in production.

My background spans 15+ years in technology, from mission-critical IBM iSeries/AS400 environments to modern data platforms, lakehouse architectures, and AI-enabled workflows in the cloud.

My work sits at the intersection of hands-on engineering, strategic architecture, and platform modernization. While much of my recent delivery has been on Google Cloud, my core value is broader: designing reliable data systems, improving platform maturity, and turning fragmented processes into maintainable operating models.

Strategic Focus

  • Technical Debt & Platform Optimization: Identifying brittle components, optimizing costly infrastructure (FinOps/BigQuery), and providing clear roadmaps to pay down architectural debt and regain development speed.
  • Cloud & Platform Delivery: Building secure infrastructure, orchestration, CI/CD, and reusable engineering patterns with Terraform, containers, and managed services.
  • Data Engineering & Pipelines: Developing robust ETL/ELT workflows and event-driven architectures. Hands-on experience building streaming and batch data processing solutions utilizing Google Cloud Dataflow, Pub/Sub, Apache Spark, Python, Scala, and complex SQL queries.
  • Data Architecture: Designing scalable modeling layers and modern architectures across warehouses and lakehouses for analytical and operational workloads.
  • Production AI & Applied MLOps: Delivering RAG systems, LLM integrations, and evaluation workflows where governance, observability, and data quality are critical for success.

I provide specialized turnkey solutions—production-ready engineering deliverables designed to solve specific bottlenecks without taxing your internal team.

I have delivered work across Banking, Retail, and Logistics, often in environments where reliability, compliance, and operational constraints matter as much as speed.