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1. Data_Engineering_Professional Data_Engineering_Professional Public

   This repo highlights a small sample of professional data engineering work I have done.

   Python 1

2. Data_Engineering_Data_Lake_with_Spark Data_Engineering_Data_Lake_with_Spark Public

   This project uses Spark to build an ETL pipeline for a data lake hosted on S3.

   Jupyter Notebook

3. Data_Engineering_Data_Warehouse Data_Engineering_Data_Warehouse Public

   In this project, I used AWS to build an ETL pipeline for a database hosted on Redshift to create a data warehouse. The data was loaded from S3 to staging tables on Redshift and then SQL statements …

   Python 1

4. Data_Engineering_Data_Modeling_with_Cassandra Data_Engineering_Data_Modeling_with_Cassandra Public

   In this project, I will apply data modeling techniques with Apache Cassandra and complete an ETL pipeline using Python.

   Jupyter Notebook 2

5. Data_Engineering_Data_Modeling_with_Postgres Data_Engineering_Data_Modeling_with_Postgres Public

   The goal of this project was to model user activity data of the music company "Sparkify" to create a database and ETL pipeline in Postgres using Python.

   Jupyter Notebook 1

6. Machine_Learning_Customer_Segmentation_Arvato_Financial_Solutions Machine_Learning_Customer_Segmentation_Arvato_Financial_Solutions Public

   Udacity Machine Learning Nanodegree (MLND) capstone project: Arvato Financial Solutions customer segmentation report using both unsupervised and supervised learning techniques.

   Jupyter Notebook