Rishabh Chaurasiya — Data Engineer
As a Data Engineer, I am passionate about designing and orchestrating data solutions that drive business impact. I have worked extensively with Snowflake, implementing Streams, Tasks, and performance tuning to handle millions of records efficiently. In Databricks with PySpark, I have engineered large-scale ETL workflows and transformations to process massive datasets with reliability and speed. My experience also includes building cloud-native pipelines using AWS services such as Redshift, Glue, and S3, along with Apache Airflow for orchestration and automation of complex workflows. These experiences have helped me deliver scalable, optimized, and cost-effective data solutions across diverse projects. I am driven by the challenge of modernizing legacy systems, migrating them to cloud architectures, and unlocking new opportunities for analytics and insights. Whether it’s scalable pipeline design, workflow orchestration, or data modeling and optimization, I thrive in solving problems at scale and enabling data-driven decision-making.
Stackforce AI infers this person is a Data Engineer specializing in cloud data solutions and ETL processes.
Location: Prayagraj, Uttar Pradesh, India
Experience: 7 yrs 10 mos
Skills
- Sql
Career Highlights
- Expert in designing scalable data solutions.
- Proficient in modernizing legacy systems to cloud.
- Strong background in ETL workflows and data transformation.
Work Experience
Fractal
Data Engineer (2 mos)
Genpact
Data Engineer (3 yrs 8 mos)
BluePi
Big Data Engineer (1 yr 1 mo)
National Institute of Technology Karnataka
Student (2 yrs 11 mos)
Education
Master of Computer Applications - MCA at National Institute of Technology Karnataka