• Led multiple end-to-end projects across data pipelines and app layers, delivering key features under tight deadlines with high reliability

• Improved data processing performance by 20x+ through scalable, client-agnostic pipeline optimizations

• Owned complex client deliveries from ingestion to production, managing validation, documentation, and stakeholder communication

• Drove cross-functional initiatives across engineering, product, solutions, and QA to launch impactful system-wide features

• Improved infrastructure and dev workflows by introducing config-driven logic, testing frameworks, and scalable patterns

• Acted as a technical leader and mentor, guiding engineers, resolving incidents, and promoting engineering best practices

• Used Python, Java, SQL, React, Typescript to develop applications and implement features in

data and analytics team within equity trading technology

• Performed ETL changes to analyze and generate transaction cost analysis (TCA)

• Developed interactive monitoring bots to increase availability and consistency of services and data

• Automated scripts for sending daily reports to trading desks and monitoring time sensitive data processes

• Integrated regional data flow into machine learning module to optimize decisions across trading strategies

• Led project discussions with several internal teams to finalize technical and business requirements

• Upgrade cybersecurity standards to minimize risk across codebases

• Refactored and modernized codebases to be in line with current day best practices

• Led the development of binary transparency security logic in Python for Firefox releases, enhancing its security features

• Tested and implemented certificate transparency logic to improve certificate issuance and detect malicious certificates

• Created essential Python packages to satisfy build requirements and boost overall efficiency