Vignesh Sekar
vigneshSs-07
Senior Data Engineer | Multi-Cloud Certified (23x Certs: Azure, GCP, Terraform, Snowflake and Databricks) | Educator to 4k+ on YouTube & Udemy | Building the Fu
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This Repo contain details related to Data Engineering tech stacks in GCP
This Repo contains all study, lab and supportive materials for Udemy course on "Google Cloud Professional Data Engineer - A Complete Guide".
This Repo deals with in and out of snowflake details related to SnowPro Certification.
This repo explains pyspark modules in python. Used to deal with big data more practical handson.
This Repo deals with building the infrastructure in Google Cloud Using Terraform(IaC)
A to Z in Python programming in depth.
Repositories
36This Repo contains all study, lab and supportive materials for Udemy course on "Google Cloud Professional Data Engineer - A Complete Guide".
Take your Data Analytics skills to the next level with this comprehensive playlist. Learn SQL from the basics to advanced techniques while mastering BigQuery on Google Cloud.
This Repo contain details related to Data Engineering tech stacks in GCP
No description provided.
This repository is a comprehensive resource for mastering both SQL and Google BigQuery, with a strong focus on interview preparation, real-time use cases, practical query questions, and detailed solutions.
This Repo deals with building the infrastructure in Google Cloud Using Terraform(IaC)
This Repo deals with in and out of snowflake details related to SnowPro Certification.
This repository provides a comprehensive guide to using **dbt Core** with **BigQuery** as your data warehouse on Google Cloud Platform. It covers setup, best practices, and workflows for building, testing, and deploying modern data transformation pipelines.
This repo contains solutions and collections of competitive questions in python programming.
A to Z in Python programming in depth.
This repo includes end to end tech stacks in Databricks includes Data lake house, Data lake, Delta lake, Data science, Data Engineering and ML. It includes Cloud Platform like Azure.
This repo explains pyspark modules in python. Used to deal with big data more practical handson.
This Repo completely deals with in and out of GCP of Integration Service known as Cloud Workflows.
This Repo deals with Git and GitHub end to end.
This Repo Contains Machine Learning Projects covering Supervised and Unsupervised ML algorithms. Contains solutions of various hackathon solutions (kaggle, AV , ineuron)
This repo contains various Statistics techniques like descriptive_Statistics including Central tendency, CLT, Z_Score and inferential statistics etc..
This Repo contain details related to Data Engineering tech stacks
This repo explains all services provide by azure related to AL-ML services.
This Repo contains services, techniques and key terminologies related to AWS Cloud Platform
This repo talks about how to prepare and crack any Data science related to machine learning, NLP , Azure certification related interviews and preparation. It has materials accordingly.
This Repo contains NLP based projects like sentiment analysis, space, nltk libraries.
This repo contains details related to natural language processing and their methods and variuous techniques.
Consists code dealing with Pandas mainly for data analysis purpose
No description provided.
This folder contains various ML and DL algorithms sticks with a particular algorithms (i.e) explained completely (A to Z)
This repo contains different functions and methods to do feature engineering for training and building various ml models
This deals with parsing and converting of JSON(nested json objects and complex structure of json objects) to pandas dataframe.
This repo contains all technical knowledge and implementation of big data technologies.
This explains the basic of mongodb structures and its functions as well.
This repo contains solutions to case stidy related to time series models and their implemtation