Skip to content
View raavibharath's full-sized avatar
πŸ’­
Open To Work
πŸ’­
Open To Work

Block or report raavibharath

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
raavibharath/README.md

Hi there πŸ‘‹

πŸ’« About Me:

πŸ”­ I’m currently working as a Data Engineer at Johnson & Johnson
🌱 I’m currently learning advanced data engineering workflows, cloud architecture, and large-scale ETL optimization
πŸ‘― I’m looking to collaborate on data pipelines, cloud data solutions, and real-world analytics projects
🀝 I’m looking for help with exploring best practices in Databricks, Lakehouse architecture, and GenAI-driven data engineering
πŸ’¬ Ask me about ADF, Databricks, PySpark, data modeling, and building scalable pipelines
⚑ Fun fact: I can spend hours fixing a data pipeline bug but still forget where I kept my keys

🌐 Socials:

LinkedIn

πŸ’» Tech Stack:

Scala Python Azure AWS Vercel Anaconda Apache Spark Apache Kafka Apache Hadoop Apache Hive Snowflake Apache Airflow Apache Flink Jenkins Postgres MySQL MongoDB MicrosoftSQLServer Matplotlib mlflow NumPy Pandas PyTorch scikit-learn TensorFlow Bitbucket GitHub

πŸ“Š GitHub Stats:




Popular repositories Loading

  1. British-airway-forage- British-airway-forage- Public

    Jupyter Notebook

  2. data-engineer-handbook data-engineer-handbook Public

    Forked from DataExpert-io/data-engineer-handbook

    This is a repo with links to everything you'd ever want to learn about data engineering

    Jupyter Notebook

  3. Data_engineering_Boot_Camp_Assignments Data_engineering_Boot_Camp_Assignments Public

    Assignments

    Jupyter Notebook

  4. IPL_data_analysis_using_Databricks IPL_data_analysis_using_Databricks Public

    Jupyter Notebook

  5. SMS-Spam-Detection-Using-PySpark-ML-lib-on-Databricks SMS-Spam-Detection-Using-PySpark-ML-lib-on-Databricks Public

    Developed a machine learning pipeline for SMS spam detection using Apache Spark's MLlib. The project involved processing a large SMS dataset to classify messages as spam or not spam. Key tasks incl…

    Jupyter Notebook

  6. Simulated-Ad-Impression-and-Clicks-with-Apache-Spark-Structured-Streaming Simulated-Ad-Impression-and-Clicks-with-Apache-Spark-Structured-Streaming Public

    This repository contains an implementation of simulated advertisement impressions and clicks using Apache Spark's Structured Streaming API.

    Jupyter Notebook