Technical Team Lead Resume Example

Technical Team Lead · Quantsys Financial Technology

Chicago, IL · 2023 - Present

• Led a team of 6 engineers in developing and maintaining a high-frequency trading platform, improving trade execution latency by 15% (from 50ms to 42ms) over 12 months.
• Architected and implemented a new market data ingestion pipeline using Apache Kafka and Flink, increasing data throughput by 200% to handle over 1 million messages per second.
• Mentored junior and mid-level engineers, resulting in a 25% improvement in team code quality metrics and a 10% reduction in critical production incidents.
• Spearheaded the migration of legacy C++ components to Go, reducing memory footprint by 30% and improving processing speed for critical trading algorithms.

Senior Software Engineer · DataForge Inc.

Chicago, IL · 2019 - 2022

• Designed and developed scalable data processing services in Python and Java for an enterprise analytics platform, supporting over 500 concurrent users.
• Optimized database queries and indexing strategies for PostgreSQL and Cassandra, reducing average query response times by 35% for key reporting features.
• Contributed to the design of microservices architecture, leading to a 20% reduction in service downtime and enabling independent deployments for 15+ services.
• Automated deployment processes using Jenkins and Docker, reducing deployment time from 2 hours to 15 minutes and increasing deployment frequency by 50%.

Software Engineer · Tradewind Financial

Chicago, IL · 2015 - 2019

• Developed and maintained modules for a market data analytics platform using Java, processing real-time equity and derivatives data from multiple exchanges.
• Implemented new features for client reporting dashboards, resulting in a 10% increase in client engagement and usage of the platform.
• Participated in code reviews and debugging efforts, resolving an average of 5 critical bugs per quarter and ensuring high software reliability.

Master of Science in Computer Science · University of Illinois Urbana-Champaign

Urbana, IL · 2013 - 2015

• Specialization in Distributed Systems and Data Mining.
• Relevant Coursework: Advanced Algorithms, Distributed Systems, Machine Learning, Database Systems.
• Thesis: 'Optimizing Real-time Stream Processing for Financial Data' achieving a 3.9/4.0 GPA.

Bachelor of Technology in Computer Engineering · Indian Institute of Technology Bombay

Mumbai, India · 2009 - 2013

• Graduated with Honors, achieving a First Class distinction.
• Relevant Coursework: Data Structures, Operating Systems, Computer Networks, Software Engineering.
• Developed a peer-to-peer file sharing application as part of final year project.

Technical Team Lead · Microsoft

Redmond, WA · 2023 - Present

• Led a team of 7 software engineers in the development of a new telemetry ingestion platform, processing over 500TB of data daily with 99.99% uptime and reducing operational costs by 12% through optimized cloud resource utilization.
• Architected and oversaw the implementation of a real-time data streaming service using Kafka and Azure Stream Analytics, improving data freshness by 60% and enabling new critical monitoring dashboards.
• Mentored and coached team members, fostering a culture of technical excellence and continuous improvement, resulting in a 25% increase in team productivity and a 15% reduction in critical production incidents.
• Collaborated cross-functionally with product management and SRE teams to define technical roadmaps, ensuring alignment with business objectives and successful delivery of 4 major product features per year.

Senior Software Engineer · Amazon

Seattle, WA · 2020 - 2022

• Designed and implemented highly scalable microservices for Amazon's core e-commerce platform using Java, Spring Boot, and AWS, reducing API response times by an average of 25% for critical customer search functions.
• Developed robust data persistence layers with DynamoDB and Aurora PostgreSQL, handling millions of requests per second and ensuring data consistency across distributed systems.
• Contributed to code reviews, system design discussions, and mentored junior engineers, improving team's code quality standards by 15% and accelerating onboarding time by 30%.
• Drove automation initiatives for CI/CD pipelines using Jenkins and AWS CodePipeline, decreasing deployment times by 40% and increasing deployment frequency by 2x.

Lead Data Scientist · Starbucks Technology

Seattle, WA · 2015 - 2019

• Developed and deployed machine learning models to optimize promotional strategies, increasing campaign ROI by 18% and customer engagement by 15% across digital channels.
• Led a team of 4 data scientists in designing and implementing A/B testing frameworks for mobile app features, resulting in a 7% uplift in conversion rates for key user flows and personalized offers.
• Architected and maintained scalable data pipelines using Apache Spark and Python, processing over 1TB of daily customer interaction data to inform strategic business decisions and product development.
• Collaborated with engineering teams to integrate data science models into production systems, achieving a 99% accuracy rate for personalized recommendations and reducing batch processing time by 35%.

Master of Science in Computer Science · University of Washington

Seattle, WA · 2013 - 2015

• Specialization in Distributed Systems and Machine Learning.
• Relevant Coursework: Advanced Algorithms, Cloud Computing, Data Mining, Software Design & Architecture.
• GPA: 3.9/4.0, Dean's List.

Bachelor of Science in Computer Science · University of Texas at Austin

Austin, TX · 2009 - 2013

• Minors in Mathematics and Statistics.
• Relevant Coursework: Object-Oriented Programming, Database Systems, Probability and Statistics.
• Graduated with High Honors (Magna Cum Laude), GPA: 3.8/4.0.