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Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Home Page: https://airflow.apache.org/

License: Apache License 2.0

Python 94.38% JavaScript 0.21% CSS 0.15% HTML 1.45% Shell 3.55% Mako 0.01% Jupyter Notebook 0.02% Dockerfile 0.20% HCL 0.02%

airflow's Introduction

Hi, I'm Vikash šŸ‘‹

Love to exploring new trends in Data and ML Engineering

About Me šŸ¤– LinkedIn Medium

  • šŸŒ± Iā€™m currently learning RAG/LangChain

  • šŸ’› Secretly in love with software engineering.

  • āš” Fun fact **I don't miss any movie of Gru **

  • āš” Check out my Medium I blog occasionally but sharing my knowledge through creating content about designing and productionizing ML systems

  • šŸ‘±šŸ» Because I am not 100% a robot,so I am also invest some time self-development. Cooking, gor for cycling, swimming for long hour are always my favourite.

About my primary skills

Python

Pytorch

Pandas

Numpy

OpenCV

Linux

Docker

Git

Azure

Visual Studio Code

FastAPI




āš«ļø My top Technologies āš«ļø āš«ļø My top interests āš«ļø
ā€¢ Java, Python, SQL ā€¢
ā€¢ Spark, Scikit-Learn ,TensorFlow
ā€¢ NumPy, Pandas
ā€¢ Azure, GCP
ā€¢ Docker, FastAPI, Airflow, MLFlow ā€¢ Hive, Cassandra, Redis
ā€¢ MLOps
ā€¢ Generative AI & LLM
ā€¢ Distributed systems
ā€¢ Batch & Streaming
ā€¢ REST API, gRPC & Streaming design
ā€¢ Cloud & On-primises
ā€¢ Snowflake & Databricks

.

Vikash Singh's GitHub stats

airflow's People

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