Kaustubh Nerurkar
@kaustubhnerurkar
Lead Software Engineer building AWS-scale event-driven geospatial data pipelines for mobility insights.
What I'm looking for
I’m a Lead Software Engineer with 11 years of experience at HERE Technologies, where I focus on designing and delivering compute-intensive, distributed systems for mobility data. I enjoy turning complex requirements into reliable architectures that teams can standardize and scale.
I led the design of an AWS EMR processing architecture using Apache Spark and Apache Sedona, scaling to process ~23M vehicle drive records (~400GB). I also directed event-driven downstream pipelines with AWS EventBridge and Step Functions, improving orchestration throughput by 30%.
On the product side, I’m a key contributor to processing modules that derive drive-path attributes, with core logic currently under patent review. I also designed geospatial deviation detection models, improving internal map correction accuracy by 50%, with related work under ongoing patent review.
Operational excellence matters to me: I helped standardize AWS EMR Spark and Apache Flink pipelines adopted by 10+ services, reducing delivery cadence from monthly to weekly. I build for maintainability too—led monitoring dashboards in Splunk and Grafana with automated alerting, served as an SME for Kubernetes and GitLab CI/CD best practices, and mentored 6+ teams to accelerate deployments by 25%.
Experience
Work history, roles, and key accomplishments
Designed a compute-intensive processing architecture on AWS EMR using Apache Spark/Sedona, scaling to process ~23M vehicle drive records and improving throughput by 30% through event-driven orchestration. Built/maintained data processing modules (including geospatial deviation detection) and led operational improvements with Splunk/Grafana monitoring and Kubernetes/GitLab CI/CD practices.
Developed new features to enhance end-user functionality and usability and led a technical refresh effort. Earned the 'INSPIRE Award' for outstanding contributions and the 'Excellent Performer' award.
Built Spring Batch and Oracle-based frameworks to ingest partner data and implemented Jenkins pipelines for automated deployments on Pivotal Cloud Foundry. Received a 'Richard E. Merwin' scholarship awarded by the IEEE Computer Society.
Developed middleware interfaces for connecting 100+ internal critical partner systems using the Spring Framework and Oracle. Led a migration from Cloud Foundry to VSI infrastructure and performed application tech refresh work that reduced costs.
Education
Degrees, certifications, and relevant coursework
Thadomal Shahani Engineering College
Bachelor of Engineering, Computer Engineering
Grade: 72.72%
Completed a B.E. in Computer Engineering at Thadomal Shahani Engineering College, scoring 72.72%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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