Nitya J

Nitya J

Sr. Data Engineer @ Travelport

About Nitya J

Nitya J is a Senior Data Engineer with extensive experience in data engineering and business intelligence. She has worked for various companies, including Travelport and Chewy, and holds a Bachelor of Engineering in Computer Science from Osmania University.

Work at Travelport

Currently, Nitya J serves as a Senior Data Engineer at Travelport, a role she has held since 2021. Based in Colorado, United States, she focuses on developing and optimizing data solutions to support the company's operations. Her responsibilities include building data pipelines and leveraging her expertise in data engineering to enhance data accessibility and usability within the organization.

Previous Experience in Data Engineering

Nitya J has a diverse background in data engineering, having worked at several organizations prior to her current role. She was a Senior Data Engineer at Global Atlantic Financial Group from 2019 to 2021 in Indianapolis, IN. Before that, she worked as a Data Engineer at Chewy from 2017 to 2019 in Florida, United States, and as a Big Data Developer at Avon Technologies Pvt Ltd. from 2015 to 2017 in Hyderabad, Telangana, India. Additionally, she served as a Business Intelligence Developer at Yana from 2013 to 2015 in Hyderabad.

Education and Expertise

Nitya J holds a Bachelor of Engineering (BE) degree in Computer Science from Osmania University. Her educational background has equipped her with a solid foundation in computer science principles, which she applies in her professional roles. She is also a certified Databricks Associate Developer for Apache Spark 3.0, demonstrating her proficiency in using Spark for data processing and analysis.

Technical Skills and Projects

Nitya J has extensive experience in building data pipelines using the Azure stack, including Azure Data Factory, Azure Databricks, Azure Data Lake, and Azure Synapse. She has developed Spark applications in Databricks for data extraction, transformation, and aggregation from multiple file formats. Her work focuses on analyzing and transforming data to uncover insights into customer usage patterns, showcasing her ability to leverage technology for data-driven decision-making.

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