Sushma Jaya

Big Data Engineer @ ABC

About Sushma Jaya

Sushma Jaya is a Big Data Engineer with extensive experience in developing ETL solutions and real-time data ingestion pipelines. She has worked for notable companies such as ABC Supply Co. Inc., Nike, and naviHealth, focusing on data integration and optimization across various platforms.

Current Role at ABC Supply Co. Inc.

Sushma Jaya has been employed as a Big Data Engineer at ABC Supply Co. Inc. since 2020. In this role, she focuses on developing and optimizing data processing capabilities. Her responsibilities include creating custom ETL solutions and real-time data ingestion pipelines, primarily using Pyspark and shell scripting. This position allows her to leverage her expertise in big data technologies to enhance the company's data management strategies.

Previous Experience at Nike

Before joining ABC Supply Co. Inc., Sushma Jaya worked at Nike as a Big Data Engineer from 2018 to 2020. During her tenure, she utilized Spark SQL for data processing and development tasks. Her work contributed to improving the efficiency of data operations, ensuring that the data handling processes were both effective and streamlined.

Experience at naviHealth

Sushma Jaya served as a SQL Developer at naviHealth from 2015 to 2018. In this role, she was responsible for managing and optimizing SQL databases. Her experience at naviHealth added to her skill set in data management and analytics, further preparing her for advanced roles in big data engineering.

Early Career at TekOptimize

Sushma Jaya began her career at TekOptimize, where she worked as a Python Developer from 2013 to 2015 in Hyderabad, Telangana, India. In this position, she developed foundational skills in programming and data processing, which later informed her work in big data technologies.

Technical Skills and Projects

Sushma Jaya has developed custom ETL solutions and real-time data ingestion pipelines, enhancing data processing capabilities. She has experience ingesting large volumes of data into Azure Data Lake Gen2 using Azure Data Factory V2. Additionally, she has built scripts for data modeling and mining, facilitating easier access to Azure Logs and App Insights. Her expertise also includes managing enterprise data integration using Sqoop, Hive, and Map Reduce.

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