Teja Sree
About Teja Sree
Teja Sree is a Senior Data Engineer specializing in AWS, currently employed at Thomson Reuters since 2022. With extensive experience in data engineering, he has developed automated workflows, utilized various database systems, and created visual reports using Power BI.
Work at Thomson Reuters
Teja Sree has been employed at Thomson Reuters as a Senior Data Engineer specializing in AWS since 2022. In this role, Teja focuses on developing and automating data workflows and scripts to enhance production environments. The position involves leveraging AWS services and tools to optimize data processing and integration.
Previous Experience in Data Engineering
Prior to joining Thomson Reuters, Teja Sree worked at Chewy as a Senior Data Engineer from 2019 to 2022. In this capacity, Teja contributed to data engineering projects that supported the company's operations. Before Chewy, Teja served as a BI Data Developer at Broadridge from 2017 to 2019, where responsibilities included data management and reporting. Teja's career began at IBing Software Solutions Private Limited as a Data Developer from 2015 to 2017.
Technical Skills and Expertise
Teja Sree possesses extensive technical skills in data engineering, particularly in AWS and big data technologies. Teja has developed automated scripts and workflows using Apache Airflow and shell scripting. Additionally, Teja has experience in writing AWS Lambda code in Python for processing nested JSON files. Teja is proficient in using Power BI Desktop and Power Query for data visualization and reporting.
Database Management Experience
Teja Sree has experience in tuning both relational and columnar databases, including Microsoft SQL Server, Oracle, MySQL, Amazon Redshift, and Microsoft SQL Data Warehouse. This expertise enables Teja to optimize database performance and manage large datasets effectively across various projects.
Industry Experience
Teja Sree has integration experience in big data and cloud services across multiple industries, including insurance, banking, retail, and healthcare. This diverse industry exposure allows Teja to apply data engineering skills to a wide range of business challenges and environments.