Hi, my name is

Louise Guerrero.

I build scalable data pipelines.

I'm a data engineer specializing in designing, building, and maintaining robust data architectures. Currently, I'm focused on enabling data-driven decisions through high-quality, real-time data infrastructure.

View my pipelines
Louise Guerrero

About Me

Hello! My name is Louise and I enjoy working with big data to uncover actionable insights. My journey into data engineering started when I was tasked with migrating a massive, unruly on-premise database to the cloud — I quickly learned the power of well-architected pipelines.

Fast-forward to today, and I've had the privilege of building data platforms at high-growth startups and enterprise tech companies. My main focus these days is ensuring data quality, reducing latency, and building scalable Lakehouse architectures.

Here are a few technologies I've been working with recently:

  • Python & SQL
  • Apache Spark
  • Azure Data Factory
  • Azure Blob Storage
  • dbt (Data Build Tool)
  • Power BI

Featured Architectures

Data Pipeline Architecture
Cloud Migration

Enterprise Modern Data Stack

Migrated legacy on-premise systems to a modern cloud data warehouse. Designed batch and micro-batch ELT pipelines ensuring 99.9% data availability for business intelligence teams.

  • BigQuery
  • Airflow
  • dbt
  • Snowflake
Real-time Streaming Dashboard
Streaming Analytics

Real-Time Event Processing

Built a highly available streaming pipeline to ingest and process millions of user events per minute. Reduced reporting latency from hours to under 2 seconds.

  • Apache Kafka
  • Apache Spark
  • Python
  • Redis
What's Next?

Let's Talk Data

Whether you need help optimizing your data warehouse, scaling your ETL pipelines, or just want to chat about the latest in data engineering, my inbox is always open!

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