Fernando Stahelin — Data Engineer

Fernando builds data pipelines.

Fernando Stahelin — Data Engineer, based in Santiago, Chile. He builds reliable data pipelines, one trusted set of numbers, and systems that keep running after handover. His stack is Python, SQL, PySpark, Airflow, dbt, AWS, and Azure. He is available for consulting and freelance data engineering; book a call (opens in a new tab). More about Fernando.

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Problems

The same ones, across companies and projects.

  1. Trust

    Pipelines that show up, and fail where someone can see it.

  2. Agreement

    One set of numbers when the sources disagree.

  3. Continuity

    Work that still runs after the person who built it has moved on.

Stack

Python
General-purpose language for pipeline code, automation and data transformation.
SQL
Querying and shaping data in warehouses, and defining the metrics people rely on.
PySpark
Distributed processing of large datasets that do not fit on a single machine.
Airflow
Orchestration and scheduling of pipelines, with alerting on failure.
dbt
Versioned, tested SQL transformations that turn raw tables into trusted models.
AWS
Cloud infrastructure and storage that data pipelines run on.
Azure
Cloud platform for hosting data services and pipelines.
Databricks
Unified platform for running Spark workloads, notebooks and data pipelines.

Certifications