Implementing best practices for PySpark ETL jobs and applications.

An end-to-end GoodReads Data Pipeline for Building Data Lake, Data Warehouse and Analytics Platform.

Mass processing data with a complete ETL for .net developers

Provides guidance for fast ETL jobs, an IDataReader implementation for SqlBulkCopy (or the MySql or Oracle equivalents) that wraps an IEnumerable, and libraries for mapping entites to table columns.

This code creates a Kinesis Firehose in AWS to send CloudWatch log data to S3.

This repo will guide you step-by-step method to create star schema dimensional model.

Terraform modules for provisioning and managing AWS Glue resources

A Python PySpark Projet with Poetry

A declarative, SQL-like DSL for data integration tasks.

Airflow POC demo : 1) env set up 2) airflow DAG 3) Spark/ML pipeline | #DE

An end-to-end Twitter Data Pipeline that extracts data from Twitter and loads it into AWS S3.

This is a PHP project which combines ETL with different strategies to extract data from multiple databases, files, and services, transform it and load it into multiple destinations.

A simple in-memory, configuration driven, data processing pipeline for Apache Spark.

Introduction to the data pipeline management with Airflow. Airflow schedule and maintain numerous ETL processes running on a large scale Enterprise Data Warehouse.

Built a Data Pipeline for a Retail store using AWS services that collects data from its transactional database (OLTP) in Snowflake and transforms the raw data (ETL process) using Apache spark to meet business requirements and also enables Data Analyst create Data Visualization using Superset. Airflow is used to orchestrate the pipeline

Sentiment Analysis of Tweets Using ETL process and Elastic Search

Comms processing (ETL) with Apache Flink.

A data pipeline from source to data warehouse using Taipei Metro Hourly Traffic data

Example project and best practices for Python-based Spark ETL jobs and applications.