An end to end anime recommendation system based on data scrapped from myanimelist.net

ecommerce GCP Streaming pipeline ― Cloud Storage, Compute Engine, Pub/Sub, Dataflow, Apache Beam, BigQuery and Tableau; GCP Batch pipeline ― Cloud Storage, Dataproc, PySpark, Cloud Spanner and Tableau

Playground for Apache Beam and Scio experiments, driven by real-world use cases.

ETL pipeline on GCP

Export Dialogflow conversation logs to BigQuery with masking PII using DLP API

Trigger a Dataflow job when a file is uploaded to Cloud Storage using a Cloud Function

A data pipeline to ingest, process, store storm events datasets so we can access them through different means.

GCP Dataflow pipeline with BigQuery as source and side input

This repo is dedicated for GCP data engineering concepts: BigTable, BigQuery, DataFlow, PubSub, DataProc Spark on GCP. Apache Beam, Apache AirFlow

GCP Dataflow pipeline with mapreduce in python

Apache beam sandbox w/ Dataflow for 10+ use cases

Big Data ETL Pipeline for ASL-to-Text (Computer Vision), using Apache Beam on GCP Dataflow

Boilerplate for batch-processing scenarios' orchestration. Apache Airflow w/ realistic product analytics use case

GCP Space Shepherd - service for monitoring Google DataFlow executions

This project focuses on scalable data processing and query performance optimisation. It uses Snowflake for data warehousing, GCP Cloud Functions for serverless compute, and Apache Kafka for real-time data streaming. It leverages the serverless capabilities of the systems for scalability and performance.

GCP Streaming Data Pipeline for Building Energy Consumption

This repo is to demonstrate rag data processing pipeline using dataflow flex templates

This project illustrates real-time data processing and analytics. This project uses Apache Kafka for capturing and streaming real-time data, GCP Cloud Functions for processing data in real-time, GCP PubSub for real-time notifications, and GCP Looker Studio for real-time data visualization.