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Priyanka Beeraiah

@priyankabeeraiah

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Data engineer focused on building scalable PySpark ETL pipelines and cloud-native data solutions.

India

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What I'm looking for

I seek a role where I can build and optimize scalable data pipelines, apply cloud-native and serverless solutions, and grow with a collaborative team focused on automation and observability.

I am a data engineer who builds scalable, cloud-native ETL pipelines using PySpark, AWS services, and automation to deliver reliable data solutions. During an internship at Fidelity Investments I developed reusable transformation utilities and modernized legacy workflows to improve processing speed and reduce costs.

I designed logging and monitoring solutions with Splunk and automated ingestion analysis with AWS Glue and S3, which improved troubleshooting and observability while reducing manual effort substantially. I also implemented data validation and collaborated on root-cause analysis to ensure data integrity.

I enjoy applying automation, CI/CD practices, and serverless architectures to accelerate development and lower operational overhead, and I actively build AI-assisted tooling and prototypes such as IntelliBuddy to enhance productivity and research workflows.

Experience

Work history, roles, and key accomplishments

Software Engineer Intern

Fidelity Investments

Mar 2025 - Sep 2025 (6 months)

Developed reusable PySpark transformation utilities and standardized ETL processes to accelerate pipeline development by up to 50%, implemented logging and Splunk dashboards that reduced troubleshooting time by up to 70% and automated ingestion metrics aggregation to S3 for auditing.

Pyspark AWS Lambda AWS Glue S3 Splunk ETL Data Validation SQL GitHub Actions

Education

Degrees, certifications, and relevant coursework

BMS Institute of Technology and Management

Master of Computer Applications, Computer Applications

2023 - 2025

Grade: 8.53 CGPA

Completed a Master of Computer Applications with focus on software engineering and data processing, graduating with strong academic performance (8.53 CGPA).

BMS College for Women

Bachelor of Science, Computer Science

2019 - 2022

Grade: 8.4 CGPA

Earned a Bachelor of Science in Computer Science, completing coursework in programming, data structures, and core computer science topics with an 8.4 CGPA.