vidush5 / basics-of-tensorflow

Introduction to TensorFlow Coding

👋 Hi there!

I’m Vidushraj, an experienced data engineer with 3+ years of experience in building scalable, reliable, and performant data pipelines and systems.

👨‍💻 Throughout my career, I have worked with a wide range of data tools and technologies and I'm always eager to learn new things and keep up with the latest developments in the field.

🚀 My passion is building systems that enable organizations to make data-driven decisions and unlock the full potential of their data. Whether it's designing a data warehouse architecture, optimizing ETL processes, or building real-time streaming pipelines, I love tackling complex data engineering challenges and delivering solutions that meet business needs.

💻 On my Github, you'll find some of the projects I've worked on. I'm always looking for new collaboration opportunities, so feel free to reach out if you're interested in working together or have any questions.

📚 In addition to my work as a data engineer, I'm also passionate about sharing my knowledge and helping others grow in the field. You can find some of my blog posts and tutorials on Website.

🌎 Outside of work, I enjoy playing cricket,chess and table tennis, listening to songs and roaming with friends. I'm also a big fan of Technology and enjoy keeping up with the latest developments and trends.

Thanks for stopping by, and I look forward to connecting with you!

• 🔭 I’m currently working on - Python, Snowflake, Tableau, Power BI, SQL, Hadoop, AWS, Impala. 🤓
• 🌱 I’m currently learning - Cloud computing (AWS, Azure, GCP), Databricks and Big Data Technologies
• 👯 I’m looking to collaborate on - Data Analytics, Data Science and NLP Researches.

Visit to see my education, experience, projects, certifications.

Connect with me:

Languages and Tools:

1. Programming Languages : Python, SQL
2. Database Design & Management : SQL (SQL Server Management Studio, Postgres, MySQL), NoSQL (MongoDB)
3. Data Visualization Tools : Power BI, Tableau
4. Cloud Technologies : AWS (EC2, S3, Amazon Sagemaker,AWS RedShift, AWS EMR, AWS Glue), Azure (Azure Data Factory, ADLS, Databricks, Azure Synapse Analytics, Azure Machine Learning Studio), GCP (BigQuery)
5. Big Data Technologies : PySpark, Hadoop, Impala, Hive, Snowflake
6. Version Control : Git, GitLab
7. Networking Tools : Cisco Packet Tracer, GNS3, Wire Shark