Hi, I'm Keyur Kulkarni - Data Engineer at Google
I'm a Geospatial Data Engineer driven by the power of location intelligence. I thrive on transforming vast datasets into meaningful insights, building scalable systems at Google Maps and pushing the envelope of what's possible with spatial data.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Previously contributed to product innovation at Esri, a leading GIS company.
Currently engineering large-scale geospatial data solutions for Google Maps.
Can help others by architecting robust location intelligence systems.
🚀 Career trajectory
Foundation in GIS
Began career with internships and roles in technical support and product engineering at Esri, building a strong foundation in GIS software and geospatial data.
✦ Esri
✦ GIS
✦ Product Engineering
Data Engineering Specialization
Transitioned to data engineering, focusing on large-scale data systems and machine learning applications.
✦ Data Engineering
✦ Machine Learning
Google Maps Innovator
Currently developing advanced geospatial data solutions at Google Maps, driving innovation in location intelligence.
✦ Google Maps
✦ Geospatial Data
✦ Location Intelligence
💪🏻 Superpowers
Geospatial Data Architect
Designing and implementing scalable data solutions for location intelligence.
✦ Expertise in engineering large-scale geospatial datasets at Google Maps.
✦ Skilled in building data pipelines with Apache Beam and SQL.
✦ Proficient in spatial analysis and remote sensing technologies.
GIS Innovation Catalyst
Bridging research and product development for advanced mapping applications.
✦ Proven experience in product engineering at Esri, a leading GIS provider.
✦ Developed solutions leveraging ArcGIS and other GIS platforms.
✦ Applied machine learning to enhance spatial data analysis.
Spatial Data Storyteller
Translating complex geographic information into clear, impactful narratives.
✦ Experience in technical support and advocacy, explaining geospatial concepts.
✦ Skilled in data analysis and visualization for diverse audiences.
✦ Passion for making location data accessible and understandable.
I'm excited about
✦ Exploring cutting-edge advancements in AI for geospatial data.
✦ Connecting with pioneers in spatial computing and data science.
✦ Discovering opportunities to contribute to impactful location-based projects.
I can help with
✦ Provide expertise on building scalable geospatial data infrastructure.
✦ Share insights on leveraging machine learning for spatial analysis.
✦ Offer guidance on product development in the GIS and mapping domain.
I would love your help on
✦ Learn about emerging trends in real-time geospatial data processing.
✦ Connect with experts in autonomous vehicle data challenges.
✦ Find collaborators for interdisciplinary research projects involving ecology and data.
