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landerox/README.md

Cloud, Data & AI

Website: landerox.com | LinkedIn | Hugging Face

I build data and AI systems that are reliable, scalable, and practical to run.

From legacy IBM iSeries/AS400 to modern warehouse/lakehouse stacks, I have spent 15+ years building and improving data platforms. These days my focus is data architecture, data engineering, and production AI across Google Cloud, equivalent stacks on other cloud platforms, and open source solutions.

What I Build

  • Data pipelines: ETL/ELT, event-driven systems, and streaming + batch processing.
  • Modern data platforms: Warehouse/lakehouse architectures that teams can actually operate.
  • Cloud foundations: IaC, CI/CD, and delivery workflows that keep projects moving.
  • Applied AI: RAG pipelines, LLM integrations, and evaluation workflows.
  • Platform cleanup: Technical debt reduction, reliability hardening, and cost optimization.

How I Work

  • Patterns: Event-driven, Medallion, and Lambda/Kappa where they fit.
  • Reliability first: Data contracts, schema evolution, idempotency, deduplication, quality gates, and replayability.
  • Table strategy: Apache Iceberg first, plus BigQuery native and Delta/Hudi interoperability when needed.
  • Engineering standards: Pre-commit, IaC-first, SemVer, and Conventional Commits.

Tech Stack

Cloud Platforms (GCP Focused)

Data & Analytics

Google Cloud BigQuery BigLake Dataflow Dataproc Cloud Storage

AI & ML

Vertex AI Gemini Model Garden Feature Store

Compute & Messaging

Cloud Run GKE Pub/Sub Cloud Functions

Orchestration

Cloud Composer Cloud Workflows

DevOps & Infrastructure (IaC)

Terraform Terragrunt Docker Kubernetes Artifact Registry GitHub Actions GitLab CI Just uv Pre-commit SemVer Conventional Commits

Data Engineering & Orchestration

dbt Apache Airflow Dagster Airbyte Apache Hadoop Apache Spark Apache Kafka RabbitMQ Databricks Pandas Polars Apache Iceberg BigQuery Native Delta Lake Apache Hudi

Production AI & Applied MLOps

LangChain LangGraph Pydantic FastAPI MCP

Languages, Libraries & Formats

Python SQL Rust Scala Go Bash Pytest uv Parquet Avro JSON NDJSON

Databases

PostgreSQL MySQL SQL Server IBM DB2 MongoDB Neo4j

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