Work Experience

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Data Engineering Lead (CMU Capstone)

eParts Services LLC | Pittsburgh, PA

January 2025 – Present

  • Led a 6-member team to architect a multi-tenant data warehouse on Snowflake, reducing production SQL server load by 30% after initial tenant migration.
  • Engineered a real-time CDC ingestion pipeline using Debezium and Kafka, improving analytical query performance by over 75%.
  • Automated cloud infrastructure deployment with Terraform and Helm, cutting new tenant onboarding time to under 30 minutes.

Key Technologies: Snowflake, Kafka, Debezium, Azure AKS, Terraform, Helm, Kubernetes, Java (Spring Boot)

Software Engineer

Silicon Labs | Hyderabad, India

July 2021 – May 2024

  • Led the end-to-end design of Bluetooth Hands-Free protocol stacks, now deployed on over 10 million consumer wearable devices globally.
  • Architected a low-overhead logging framework for resource-constrained devices, reducing log transfer volume by 80% via a custom serialization format.
  • Developed a Python-based test automation framework that eliminated 90% of manual testing efforts for wireless protocol analysis.
  • Mentored junior interns, providing guidance on software development best practices and contributing to their successful project completion.
  • Assisted the hiring team by conducting technical interviews for engineering candidates, helping to identify and select qualified talent.

Key Technologies: C, Python, Bluetooth (HFP, Audio, BLE)

Data Solutions Intern

BNY Mellon | Pune, India (Remote)

August 2020 – December 2020

  • Automated Python/SQL-based ETL workflows for 15 client-facing market reports, reducing manual effort by approximately 10 hours per week per report.
  • Developed robust data validation and anomaly detection mechanisms within the pipelines to significantly improve accuracy and reduce errors in final reports.

Key Technologies: Python (Pandas, NumPy), SQL, Pentaho, Toad, MS Excel

Intern

Indian Meteorological Department | Pune, India

May 2019 – July 2019

  • Developed an IoT-based automation system using an Arduino microcontroller for remote weather monitoring.
  • Designed the system to upload data every few seconds, dramatically increasing data collection frequency compared to the previous hours-long manual process.

Key Technologies: Arduino (C++), GPRS Modules, Weather Sensors