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Joseph Seiter's Projects

data-engineering-capstone icon data-engineering-capstone

The scope of the project is to provide an analytical schema for users using provided immigration dataset and temperature dataset. Immigration data and city temperature data provided by Udacity were used to create a star schema that allows users to see if there is a relation between City Temperature and immigration requests to this City.

data-lake-aws icon data-lake-aws

Built a data lake on AWS and an ETL pipeline for a database hosted on Spark. The data is loaded from S3 to staging tables on Spark and modeled into fact and dimensions tables to perform analytics and obtain meaningful insights.

data-modeling-cassandra icon data-modeling-cassandra

Modeled the data with Apache Cassandra and completed an ETL pipeline using Python. Tables in Apache Cassandra to run queries are created and the ETL pipeline that transfers data from a set of CSV files within a directory are defined to create a streamlined CSV file to model and insert data into Apache Cassandra tables.

data-modeling-postgres icon data-modeling-postgres

Created a Postgres database and built an ETL pipeline to optimize queries on song play analysis. The fact and dimension tables for a star database schema for a particular analytic focus are defined, and an ETL pipeline that transfers data from files in two local directories into these tables in Postgres using Python and SQL was developed.

data-pipelines-airflow icon data-pipelines-airflow

Built data pipelines using Apache Airflow with custom defined operators to perform tasks such as staging the data, filling the data warehouse, and running checks on the data as the final step

data-warehouse-aws icon data-warehouse-aws

Built a data warehouse on AWS and an ETL pipeline for a database hosted on Redshift. The data is loaded from S3 to staging tables on Redshift and modeled into fact and dimensions tables to perform analytics and obtain meaningful insights.

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