Shriyansh Yadav
Data Engineer, Amazon | NC State Alumni
- Role
- Data Engineer at Amazon
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Shriyansh Yadav
Interests: Data Engineering, Analytics, Big Data and Machine Learning.I am currently a Data Engineer at Amazon, with more than 6 years of experience in the field.Here is an overview of some tasks I keep juggling between, on a given day-Design and modify ETL pipelines handling high-volume data for analytics using best practices in data modeling- Managing AWS database and ETL infrastructure, identifying bottlenecks in the existing data pipelines to provide new capabilities and increase efficiency- Create feature rich datasets for Data Scientists to train advanced analytics algorithms and machine learning solutions- Support online reporting and analysis using QuickSight and performing ad hoc data preprocessing, data analysis to meet reporting needsRelevant Courses: DevOps, Design and Analysis of Algorithms, Operating Systems, Software Engineering, Data Intensive Computing, Automated learning and Data Analysis, Foundations of Data Science, Algorithm guided Business Intelligence, Database Management Systems and Concepts, Object Oriented Design and Development.
Experience
Data Engineer
Dec 2021 — Present · US
Managing AWS technologies including but not limited to EC2, RDS, Lambda, Glue, Redshift, and EMR, to provide new capabilities and increase efficiency- Design, develop, implement, test, and operate large-scale, high-volume, high-performance data structures for analytics using best practices in data modeling, ETL/ELT processes, SQL, Redshift, Glue- Identifying bottlenecks in the existing data pipelines, and proposing/leading the efforts for ETL and optimization by collaborating with other technology teams- Working cross- functionally with Data Scientists to create feature rich datasets to train advanced analytics algorithms for statistical analysis, prediction, clustering and machine learning- Support online reporting and analysis using QuickSight against large, multi-dimensional datasets and multiple sources- Evaluate and make decisions around dataset implementations designed and proposed by peer data engineers, and around the use of new or existing software products and tools.
Education
Vivekanand Education Society's Institute Of Technology
Bachelor of Engineering (B.E.), Computer Engineering
2013 — 2016
Manjunatha Vidyalaya
S.S.C.
1998 — 2010
North Carolina State University
Master's degree, Computer Science
2016 — 2018
Birla College of Arts, Science and Commerce
Higher School Secondary Certificate (HSC), Science
2010 — 2012
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