Skip to content
View 0424Akash's full-sized avatar
🎯
Focusing
🎯
Focusing

Organizations

@T-I-P

Block or report 0424Akash

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.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, 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
0424Akash/README.md

Hi 👋, I'm Akash Kumar

Happy Coding👨‍💻

About me

I am a data enthusiast who loves working on data-related projects and is passionate about building scalable and efficient data pipelines. With experience in Neo4j and a strong foundation in Data Engineering tools, I'm always looking to learn new technologies and take on new challenges. I am also AWS Certified Architect Associate.

  • 🌱 I’m currently learning more about Big Data technologies.

  • 👯 I’m looking to collaborate on data engineering and analytics projects.

  • 🤝 I’m open to job opportunities as a data engineer or any related roles.

  • 💬 Ask me about Neo4j or anything related to data engineering and analytics. I'm always happy to help.

Skills

  • Data Engineering
  • Data Analysis
  • ETL Pipeline
  • Python
  • Sparql
  • Neo4j
  • SQL
  • AWS

Projects

Here are some of my recent projects:

  • Bulid ETL that migrate Data from MySQL to Neo4j database
  • Conduct POC on AWS Neptune vs Neo4j query performance

📫 Connect Me:

0424Akash akash-kumar-952820184 akash0424 akash0424

Feel free to connect with me and let's chat about data! 😊

Popular repositories Loading

  1. coursera-check coursera-check Public

    1

  2. DBMS-Assignment DBMS-Assignment Public

  3. website website Public

    Forked from massg/website

    Reclothe - clothe renting and recycling system

    Python

  4. website-1 website-1 Public

    Forked from Inboxen/website

    obsolete - use https://github.com/Inboxen/Inboxen

    Python

  5. dill dill Public

    Forked from uqfoundation/dill

    serialize all of python

    Python

  6. datasciencecoursera datasciencecoursera Public

    Forked from Akash0424/datasciencecoursera