Soundarya Jayakumar
Data Engineer @ Barclays with AWS and Darabricks Expertise | Ex-SDE at Tesla | Master\'s in Computer Science
- Role
- Data Engineer at Barclays
- Location
- New York, NY, US
- LinkedIn followers
- 500 followers
About Soundarya Jayakumar
I am an accomplished Data Engineer and Full Stack Developer with a Master\'s in Computer Science and extensive experience in building scalable, data-driven solutions. Currently working at Barclays, I specialize in AWS Glue, Snowflake, and PySpark to design and maintain complex data processing workflows, automating pipelines for seamless data ingestion and transformation.Throughout my journey, I have successfully delivered projects involving Big Data migration, data pipeline optimization, and advanced analytics platform development. My proficiency in Python and Scala allows me to handle distributed data processing, while my experience with CI/CD tools ensures smooth deployment across environments. Additionally, I have contributed to Generative AI solutions during internal hackathons, demonstrating my commitment to innovation in AI and data engineering.With previous software development experience at Tesla, I developed high-performance data ingestion pipelines and designed modular systems using Docker, Python, and ReactJS for real-time data visualization. I have a strong background in frontend and backend development, having engineered solutions across diverse industries, from financial services to technology, and delivered user-friendly interfaces.I am passionate about leveraging cutting-edge technologies to solve complex problems and drive business value. My expertise spans a broad range of technologies including AWS, Kubernetes, Kafka, InfluxDB, ReactJS, and more. Let’s connect to explore how I can help you build innovative and scalable solutions!
Experience
Data Engineer
Jun 2023 — Present
Education
Sri Sivasubramaniya Nadar College Of Engineering
Bachelor of Engineering, Computer Science
2016 — 2020
University of Wisconsin-Milwaukee
Master's degree, Computer Science
2021 — 2023
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