JavierFernandez2002
:computer:Data developer | Python, SQL, Jupyter Notebooks, Apache Spark, Apache Airflow, AWS. :wrench:Web Scrapping/ Data Pipelines/ Data Modelling/ ETL.
San Isidro/ Buenos Aires
Pinned Repositories
CSV-to-PostgreSQL-ETL
The CSV to PostgreSQL ETL project is a data integration initiative designed to streamline the process of extracting data from CSV files, transforming it into a suitable format, and loading it into a PostgreSQL database. This project aims to improve data management, accessibility, and analysis.
JavierFernandez2002
MarketApi
Api creada con Java Spring Boot
OLTP-to-OLAP
This project focuses on transforming an OLTP (Online Transaction Processing) style database into an OLAP (Online Analytical Processing) style using PostgreSQL and SQL. The main objective is to optimize the database structure to facilitate data analysis and reporting.
Srcs-to-Redshift-ETL
This project is an ETL (Extract, Transform, Load) data pipeline that extracts data from various sources, including a PostgreSQL database, a JSON file, and a CSV file. It then performs data transformations to optimize it for data analysis before loading it into an Amazon Redshift database on AWS.
JavierFernandez2002's Repositories
JavierFernandez2002/CSV-to-PostgreSQL-ETL
The CSV to PostgreSQL ETL project is a data integration initiative designed to streamline the process of extracting data from CSV files, transforming it into a suitable format, and loading it into a PostgreSQL database. This project aims to improve data management, accessibility, and analysis.
JavierFernandez2002/JavierFernandez2002
JavierFernandez2002/MarketApi
Api creada con Java Spring Boot
JavierFernandez2002/OLTP-to-OLAP
This project focuses on transforming an OLTP (Online Transaction Processing) style database into an OLAP (Online Analytical Processing) style using PostgreSQL and SQL. The main objective is to optimize the database structure to facilitate data analysis and reporting.
JavierFernandez2002/Srcs-to-Redshift-ETL
This project is an ETL (Extract, Transform, Load) data pipeline that extracts data from various sources, including a PostgreSQL database, a JSON file, and a CSV file. It then performs data transformations to optimize it for data analysis before loading it into an Amazon Redshift database on AWS.