Shweta Dubey — Data Engineer
I have over 6 years of overall experience, including 4 years of focused experience in data engineering, currently working with a leading automobile client. My role primarily focuses on building and maintaining a Python-based data validation framework and implementing end-to-end data quality checks on large-scale telemetry data collected from test-drive vehicles. As part of a team that developed a custom Converter tool, I help transform raw MDF files into readable formats like Parquet and ORC for further processing. I’ve also designed and managed Azure Data Factory (ADF) pipelines to support two distinct data streams, ensuring smooth orchestration, schema alignment, and integration of new features. I’m passionate about the data engineering side of projects and actively take ownership of tasks involving PySpark, performance optimization, and complex transformation logic.
Stackforce AI infers this person is a Data Engineering expert in the Automotive sector.
Location: Bengaluru, Karnataka, India
Experience: 7 yrs 7 mos
Skills
- Data Engineering
- Python
- Big Data
- Software Development
- Data Analysis
Career Highlights
- Over 6 years of experience in data engineering.
- Expert in building Python-based data validation frameworks.
- Proficient in managing Azure Data Factory pipelines.
Work Experience
Fractal
Senior Data Engineer (6 mos)
Data Engineer (2 yrs 1 mo)
Accenture
Application Development Senior Analyst (1 yr 9 mos)
Application Development Analyst (1 yr 5 mos)
Associate Software Engineer (1 yr 10 mos)
Powergrid Corporation of India Ltd
Summer Internship (2 mos)
Education
Bachelor's degree at Shri Ramdeobaba College of Engineering and Management
High School at Saraswati Vidyalaya (HSSC), Nagpur
Matriculate at R. N. Podar School (CBSE), Mumbai