2026 - present: Scaling Data Intelligence | Google

I currently lead the engineering efforts for Dataproc, focusing on Managed Spark Services. My role is to simplify massive-scale data processing for thousands of global customers.

• Mission: Empowering organizations to derive insights from their data with zero friction.2024 – 2025: Defining the Future of Analytics

2024 - 2025: The Zero-to-One Chapter | Microsoft

As a Principal Engineering Manager for Microsoft Fabric Graph, I led a high-caliber team across the Bay Area and Seattle to build a next-generation, scale-out property graph analytics engine.

• Product Vision: Collaborated with architects and PMs to define the "North Star" for graph analytics within the Microsoft Fabric ecosystem.

• Operational Excellence: Created a culture of excellence that streamlined inter-continental collaboration, successfully onboarding a global team in Barcelona while improving stakeholder transparency through strategic communication platforms.

• Knowledge Advocacy: Launched a "Brown Bag" series and a newsletter that have become the pulse of our organization’s internal knowledge-sharing, fostering a continuous learning environment.

2021 – 2024: Powering Global Commerce with Query Science | eBay

At eBay, I wore two hats: Senior Engineering Manager and Senior Applied Researcher. My focus was on Query Understanding, ensuring that millions of users could find exactly what they were looking for among billions of listings.

• Breakthrough Performance: Architected a Java multithreading solution that accelerated query processing by 500%, directly impacting the relevance of millions of search queries.

• Efficiency at Scale: Reduced data processing times by 30% by mentoring a cross-functional group of 24 data scientists and engineers in Python, Spark, and Java best practices.

• Business Impact: Driven by GenAI and ML ranking, my team’s work on related searches and query recall led to a 1.25% increase in Gross Merchandise Bought (GMB).

2020 – 2021: Scaling Relationships | LinkedIn

As a Software Engineering Manager for Graph Infrastructure, I led a team of 13 engineers responsible for the ingestion and querying services at the core of the Graph database that powers the world's largest professional network.

• Modernizing Infrastructure: Orchestrated the 100% migration of legacy ingestion systems and secured key partnerships with teams like "People You May Know," delivering candidate generation features ahead of schedule.

• Developing Talent: I take immense pride in having fostered a high-growth environment, resulting in a 15% promotion rate to Staff SWE and a 25% rate to Senior SWE within my team.

• Women@LinkedIn: Outside of my core engineering role, I co-led the Women@LinkedIn ERG, driving a 450% increase in membership and creating a supportive network of over 275 women and allies.

2012 – 2019: Innovating in the Graph Domain | Oracle

My time at Oracle was marked by rapid growth, moving from a Senior Engineer to a Principal Technical Lead and a Software Development Manager. Here, I focused on RDF Knowledge Graphs and Property Graphs.

• Technical Innovation: Filed three US patents (two granted) and presented at international conferences on graph data storage and query optimization.

• System Transformation: Empowered my team to achieve a 500% improvement in data loading for 1.5+ billion entities across Apache HBase, Oracle NoSQL, and Oracle Relational Databases.

• Strategic Growth: Built tailored Proof of Concepts that secured multi-million dollar deals with major South American and US banks, proving that engineering excellence is the best sales tool.

2006 – 2011: From Research to Real-World Application

My journey began at the intersection of logic and data. Working at Usaria, and conducting research in Mexico and France, I developed a "UX-first" mindset for engineering.

• Semantic Insights: My early work in semantic search and data structures taught me that data is only as good as the meaning we derive from it.

• The User-Centric Engineer: My time as a UX Consultant at Usaria ensured that I would never view a backend system as "done" until I understood how it served the end user.

• Academic Rigor: My background in Computer Science with specialty on Database systems provided the analytical framework I still use today to solve "impossible" technical debt.