Jun 2025 – Dec 2025 · 6 mos · San Jose, California, United States · Hybrid

• Delivered a financial data processing solution for extraction and reinsertion of metrics into analyst models, reducing manual work by over 90%, improving accuracy.
• Orchestrated backend architecture leveraging Docker, Kubernetes, and a Redis queue with APIs to efficiently process large financial models without performance degradation, enabling near-instant computation for up to 1000 data points.

Mar 2025 – Jun 2025 · 3 mos · Los Angeles, California, United States · Remote

• Engineered an interactive dashboard using the MERN stack to centralize XML-based logs and track real-time integration activities, accelerating anomaly detection and cutting root-cause analysis time by 25%.
• Led data migration efforts from legacy file systems including XML, CSV, and TXT formats into a structured and normalized relational database using Python and custom SQL scripts.

Aug 2022 – Nov 2023 · 1 yr 3 mos · Bengaluru, Karnataka, India · On-site

• Redesigned the Equities data pipeline by migrating to a config-based download system and AWS S3 storage, improving efficiency by 20% and reducing manual workload by 6 hours per month through automation and robust failover handling.
• Developed Python scripts to generate summary analytics and performance dashboards from pipeline logs, improving visibility into data quality and accelerating issue resolution by 30%.
• Designed and implemented backend automation for data pipeline using Python, reducing manual processing by over 40% and orchestrating internal workflows with Apache Airflow.
• Analyzed historical equities transaction data to identify anomalies and pricing discrepancies, enabling proactive alerting and reducing reporting errors by 15%.
• Integrated quality checks and monitoring into data workflows, enhancing system reliability and reducing troubleshooting effort by 10 hours monthly.
• Collaborated with cross-functional teams to integrate a new trade booking system, reducing processing time by 20% and boosting user satisfaction through effective communication.
• Automated market data subscription processes, saving over 5 hours of manual effort each month.

May 2021 – Jul 2021 · 2 mos · Remote

• Automated infrastructure provisioning in Azure Cloud using Terraform (Infrastructure as Code) for onboarding an internal tool; slashed manual deployment time by 50% and increased operational efficiency by 25%.
• Deployed bash scripts for VM (EC2) configuration, including package installations, drive mounting, and custom settings, enabling seamless and repeatable environment setups across teams.