Vinuthna Surampudi
Data Engineer | AAA-The Auto Club Group
- Role
- Data Engineer at AAA-The Auto Club Group
- Location
- Tampa, FL, US
- LinkedIn followers
- 500 followers
About Vinuthna Surampudi
A skilled Data Professional with 5 years of experience in Data Engineering, Data Science and Analytics. Designed and developed scalable ETL pipelines using Python and SQL to automate data extraction, transformation and loading from legacy systems and flat files into cloud data warehouses such as BigQuery. Developed complex SQL queries, stored procedures and triggers to streamline data processing and query performance optimization. Expertise in designing and implementing robust data models for seamless integration into diverse data engineering pipelines. Successful integration of visualization tools (Tableau, Qlik Sense, Power BI) and Python into data engineering workflows to validate and ensure data accuracy. Practical experience with cloud platforms such as Google Cloud for designing and implementing scalable data solutions. Solid foundation in probability and statistics applied to assess and ensure data quality.
Experience
Data Engineer
Jan 2022 — Present · Tampa, FL, US
Build and automate data pipelines and processes that move data across legacy databases to google cloud environment. Designed and implemented new schemas that aggregate data from various lines of business sources into a single, unified view enabling streamlined access and analysis for data science applications. Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes. Develop ETL scripts using python which facilitate end to end transfer of files across multiple platforms including the cloud. Build analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition. Use Tableau to deliver insights with effective visualization techniques to help understand newly built data sources. Collaborate across various lines of business and technical teams to research and identify new sources of data to better drive business decisions. Building predictive algorithms including but not limited to GLM, Decision Trees and Customer Segmentation. Designed A/B testing campaigns and conducted response analysis using hypothesis testing to help improve targeting efficiency.
Education
University of South Florida
Master of Science - MS, Business Analytics and Informations Systems
2021 — 2022
Malla Reddy (MR) Deemed to be University
Bachelor of Technology (BTech), Computer Science
2013 — 2017
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