Highly motivated Data Engineer with 12+ years of experience in diverse industries, from finance to tech. Adept in Java, Python, and AWS, I excel at optimizing data pipelines, ensuring data integrity, and fostering cross-functional collaboration. Eager to learn from and contribute to S&P Global Market Intelligence’s cutting-edge environment, applying my management, data analysis, and platform development skills to solve complex financial challenges.

Experience

Lead Data Engineer
Stripe
01/2017 – Ongoing
San Francisco

Scaled 3 BI & Data Warehousing teams efficiently: Optimized team structures and workflows to support a 20% increase in data ingestion volume and 15% reduction in time-to-insight.
Championed operational excellence: Established standardized project management frameworks and system reliability measures, resulting in zero critical data outages for 6 consecutive quarters.
Fostered data-driven culture: Built strong relationships with 24+ data scientists, PMs, and engineers, leading to 40% increase in data requests & utilization across product verticals.
Spearheaded data infrastructure expansion: Delivered 4 new data models and pipelines on-time and on-budget, significantly improving data accessibility and analysis capabilities.
Ensured data integrity as a core value: Maintained 99.99% data accuracy across all product verticals and related business areas, boosting trust in data-driven decisions.

Principal Data Engineer
Visa
01/2012 – 01/2017
San Francisco

Championed robust data architecture: Built and maintained a secure, compliant, and automated data framework with automated ingestion, reducing manual tasks by 45%.
Streamlined data pipelines for efficiency: Designed an AWS-powered infrastructure that optimized data extraction and transformation, improving data load speeds by 58%.
Fostered data collaboration: Liaised with 19+ stakeholders across product, BI, and design teams, resolving data-related technical challenges, leading to a 30% increase in data utilization.
Cultivated data expertise: Mentored 7 data engineers and 12+ engineers and business leaders in data management best practices, empowering them to drive data-driven decisions.

Data Engineer
PayPal
01/2010 – 01/2012
San Francisco