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Aishwarya Wagh
Senior big data engineer | Scala | Distributed systems | Data Analytics | Master of Engineering @ University of Waterloo
About
Aishwarya Wagh is a highly skilled Senior Big Data Engineer with over 6 years of experience in developing scalable and high-quality data platforms that drive innovation. She has a strong focus on understanding business needs and designing end-to-end data pipelines using a variety of open source technologies, including Python, SQL, Kafka, Docker, and Kubernetes. Aishwarya's expertise lies in data collection, data extraction, and data ingestion. She has developed distributed data processing frameworks and created sophisticated databases and ETLs to load data from multiple sources. Additionally, she has built data quality testing frameworks to identify issues with the data and notify users. Aishwarya is also proficient in creating APIs and data delivery platforms to securely distribute data within an enterprise. Aishwarya is currently working as a Senior Data Engineer at RBC. Prior to this, she worked as a Data Engineer at RBC and as a Graduate Student at the University of Waterloo. She holds a Master of Engineering degree in Computer Engineering from the University of Waterloo and a Bachelor of Technology degree from Government College of Engineering Aurangabad. Aishwarya's technical skills include Data Engineering, Big Data, Scala, SQL, Kubernetes, Docker, Kafka, ETL, Web, and Python. She is an expert in building web scraping bots to gather data from various websites and has also developed data dictionaries to assist teams in comprehending data clearly. Aishwarya is a dedicated professional who is passionate about her work. She is always eager to learn and grow in her field. She is open to virtual coffee chats and welcomes any opportunity to connect with like-minded professionals.
Education Overview
Companies Overview
• rbc
• university of waterloo
• tcs
Experience Overview
7 Years
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Skills
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analytics
Application Programming Interfaces (API)
Big Data
Data Analytics
Data Engineering
Data Pipelines
Data Processing
Distributed Systems
Docker
Extract, Transform, Load (ETL)
Kafka
Kubernetes
open source
Python
Scala
SQL
Web
Web Scraping
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