---
title: "Discussion on \"Inside a Modern Data Warehouse Lifecycle: Snowflake, dlt, dbt, and Data Modeling\" | Hashnode"
description: "Discussion on \"Inside a Modern Data Warehouse Lifecycle: Snowflake, dlt, dbt, and Data Modeling\". I built a modern data warehouse with Snowflake, dlt, dbt, and Streamlit, turning JobTech API data into dimensional models."
url: "https://hashnode.com/posts/inside-a-modern-data-warehouse-lifecycle-snowflake-dlt-dbt-and-data-modeling/6ac3990cecef5a65ccf19c90"
---

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# [Inside a Modern Data Warehouse Lifecycle: Snowflake, dlt, dbt, and Data Modeling](https://dataengineeringlearning.hashnode.dev/inside-a-modern-data-warehouse-lifecycle-snowflake-dlt-dbt-and-data-modeling?utm_source=hashnode&utm_medium=feed)

I built a modern data warehouse with Snowflake, dlt, dbt, and Streamlit, turning JobTech API data into dimensional models.

Oct 5 · 20 min read · dataengineeringlearning.hashnode.dev  
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-   [#snowflake](https://hashnode.com/tag/snowflake)
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-   [#sql](https://hashnode.com/tag/sql)
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## Written by

[Aira Franco](https://hashnode.com/@Aira)

@Aira · Stockholm, Sweden

  
[View profile](https://hashnode.com/@Aira)

Aspiring Data Engineer

For the love of data, someone has to clean up the mess Data Scientists and Machine Learning Engineers make. https://github.com/Akina-Aoki

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