Hi, I’m Aditya Dubey, an experienced Data Engineer with over a decade in software development and more than five years specializing in cloud-based data pipelines, PySpark, and modern data platforms. I enjoy designing scalable ETL pipelines and automating workflows to help businesses process large volumes of data efficiently and securely.
I have worked extensively with cloud platforms like Azure and AWS, and have experience managing distributed computing environments, containerization with Docker, and orchestration tools like Airflow. I’m always eager to collaborate on challenging projects and continue growing my skills in data engineering and cloud technology.
Skills
Experience Level
Language
Work Experience
Education
Qualifications
Industry Experience
This project demonstrates the design and implementation of a dynamic, scalable ETL pipeline using Azure Data Factory (ADF), Databricks, and Synapse Analytics. The pipeline is built following the medallion architecture pattern, enabling structured data refinement through bronze, silver, and gold layers. It integrates dynamic control flows, such as lookup and foreach activities in ADF, to manage the orchestration of multiple data sources. The transformed data is used to create external tables in Synapse for efficient analytical querying and reporting.
Github: https://www.twine.net/signin
Hire a Programmer
We have the best programmer experts on Twine. Hire a programmer in Mumbai today.