This repository contains Data Engineering solution using ETL (Extract, Transform ... and is implemented on Databricks using PySpark, Python, and Databricks utilities.Factory Method Design Pattern has ...

One of Nayak's major initiatives involved reengineering critical ETL pipelines using a mix of Java, Scala, and Python a combination selected to ... and Snowflake," which emphasizes real-world patterns ...

To help traffic authorities identify accident patterns, severity trends, and high-risk areas by analyzing historical accident data across key dimensions such as location, vehicle type, road condition, ...

Interest in HR operations and data-driven decision making You are enrolled at an educational institute for the entire duration of the internship ; ...

ETL pipelines are processes that extract, transform, and load data from various sources to a target destination, such as a data warehouse or a data lake. Data engineering involves designing and ...

and functions Python programming language syntax and semantics Developing skills in areas like Advanced OOP, GUI Programming, PEP conventions, and File Processing Gain an understanding of Creating and ...

and execute our design ideas, making the process more efficient, personalized, and accessible. These tools leverage AI's power to analyze patterns, understand preferences, and generate design ...