Nirbhay K.

I have completed my training in Data Engineering with AWS, where I worked on multiple real-world data projects. I started with an e-commerce clothing brand project using Oracle SQL, where I designed tables and wrote complex queries to analyze sales and customer data.

After that, I worked on a Swiggy data analysis project using PySpark to handle large datasets. I further enhanced this project using PySpark ML for prediction and insights, and I created dashboards in Databricks using Jupyter notebooks to visualize the results.

In addition, I worked on an AWS ETL project where I used AWS Glue to extract, transform, and load data into Amazon Redshift for analytics.

Overall, these projects helped me understand end-to-end data pipelines, big data processing, cloud-based ETL, and business-driven data analysis.”