Ravi Teja

Ravi Teja

Aws Data Engineer @ UBS

About Ravi Teja

Ravi Teja is an AWS Data Engineer with extensive experience in data management and cloud engineering across various companies in the United States and India. He has developed custom applications and data models, demonstrating proficiency in technologies such as Django, MongoDB, and the Microsoft Azure stack.

Work at UBS

Currently, Ravi Teja serves as an AWS Data Engineer at UBS, a position he has held since 2020. He is based in New Jersey, United States. In this role, he focuses on leveraging AWS technologies to enhance data management and engineering processes within the organization. His experience at UBS contributes to the company's data-driven strategies and operational efficiencies.

Previous Experience at Edward Jones

Ravi Teja worked as an AWS Data Engineer at Edward Jones from 2016 to 2018. During his two years in St. Louis, Missouri, he contributed to various data engineering projects, utilizing AWS services to support the firm's data infrastructure and analytics capabilities.

Experience at Prudential Financial

From 2019 to 2020, Ravi Teja was employed as a Big Data Engineer/AWS Cloud Engineer at Prudential Financial in Bothell, Washington. His role involved working with big data technologies and cloud solutions to enhance the company's data processing and analytics frameworks.

Background in Data Engineering

Ravi Teja began his career as a Data Engineer at SCREATIVES SOFTWARE SERVICES PVT. LTD from 2015 to 2016 in Hyderabad, Telangana, India. His early experience laid the foundation for his expertise in data management and engineering, which he has built upon in subsequent roles.

Technical Skills and Expertise

Ravi Teja possesses expertise in the analysis, design, and development of custom solutions using the Microsoft Azure technology stack. His skills include working with Azure Virtual Machines, Azure Data Factory, and Azure Data Bricks. Additionally, he has developed an API using Django integrated with MongoDB for data management, which supports job monitoring and metadata management.

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