Gaurav Kumar

AI Researcher

Bengaluru, Karnataka, India10 yrs 3 mos experience

Highly Stable

Key Highlights

Led development of innovative data solutions at Glean.
Enhanced data quality frameworks at Roku.
Designed a scalable data platform at Microsoft.

Stackforce AI infers this person is a Data Engineering expert in SaaS with a focus on data quality and analytics.

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Skills

Core Skills

Data EngineeringData SolutionsData QualityData InstrumentationData PlatformSoftware DevelopmentTechnical ArchitectureBackend DevelopmentAr/vr Development

Other Skills

Agile EnvironmentAnalyticsApplication Programming InterfacesData HubData ObservabilityData PipelinesDjangoDocumentationGDPR ComplianceIntegrationsIoT SolutionsLeadershipMicroservicesMonitoringOrchestration

About

As a Data Engineering Lead at Glean, I drive the development of innovative data solutions, including a cutting-edge Insights platform and a unified logging architecture. By standardizing event capture and enhancing traceability, our team empowers stakeholders with actionable intelligence and self-serve analytics capabilities. Collaborating across engineering, product, and design teams, we ensure robust data instrumentation standards to support product and business goals. With over nine months of experience at Glean and prior contributions at Roku, I focus on enhancing data quality frameworks, reducing inefficiencies, and delivering reliable analytics. Passionate about scalable architectures and data empowerment, my mission is to enable organizations to unlock deeper insights through well-curated datasets, reusable metrics, and simplified dashboards.

Experience

Glean

Data Engineering Lead

Dec 2024 – Present · 1 yr 3 mos · Bengaluru, Karnataka, India · Hybrid

Spearheading the architecture and development of Glean’s new Insights platform, enabling advanced data visualizations, embedded analytics, and deep-dive product intelligence to power future innovation.
Leading the rollout of a unified logging architecture across multiple backend systems—standardizing event capture, reducing duplication, and improving traceability and observability across services.
Driving self-serve analytics initiatives, empowering product and business teams to explore data independently through reusable metrics, curated datasets, and simplified dashboards.
Partnering with engineering, product, and design teams to define data instrumentation standards—ensuring high-quality, consistent telemetry to support experimentation and decision-making.
Contributing to Glean’s data platform strategy and roadmap, with a focus on scalability, real-time insights, and reducing time-to-value for internal stakeholders.
Advocating for a metrics-first culture, aligning logging, monitoring, and product analytics to deliver reliable and actionable insights across the organization.

Data EngineeringData SolutionsData InstrumentationAnalytics

Roku

Data Engineering Lead

May 2024 – Nov 2024 · 6 mos · Hybrid

Enhanced Roku’s proprietary Data Quality framework, improving the reliability and trustworthiness of analytics across the company.
Strengthened the framework’s integration with Roku’s internal Data Hub, enabling seamless discoverability and automated quality insights for downstream consumers.
Drove platform improvements that reduced false positives by 40% and enhanced monitoring and alerting capabilities.
Contributed to the strategic roadmap for the Data Quality platform by identifying key gaps, prioritizing features, and aligning cross-team efforts toward a shared vision of trusted data.

Data QualityData HubAnalyticsMonitoringData Engineering

Microsoft

Data Platform Lead

Jan 2020 – Jan 2024 · 4 yrs · Bengaluru, Karnataka, India · Hybrid

Led the design and development of DIME, a company-wide data platform enabling 15+ teams to build, deploy, and manage 300+ data pipelines with built-in support for orchestration, data quality, monitoring, GDPR compliance, alerting, and access management.
Designed a modular platform architecture with reusable components and automated Azure infrastructure provisioning, reducing onboarding time for new pipelines by 40%.
Drove major performance improvements in Gnosis, optimizing HyperScale SQL ingestion, reducing database lock contention during index rebuilds, and refactoring legacy code—cutting pipeline failure rates and improving dev velocity by 30%.
Managed and mentored a team of 3 engineers, leading the migration of PageView (Web) pipelines to Spark + Scala with GDPR compliance. Reduced latency from 24 hours to 2 hours, saving $260K+ annually.
Improved pipeline runtimes by ~50% across multiple systems without increasing infrastructure costs—achieved via workload parallelism, storage tuning, and schema optimization.
Collaborated cross-functionally with product, privacy, and platform teams to deliver impactful features and fixes, enhancing developer experience and platform stability.
Defined data platform standards for logging, alerting, and secure access—driving adoption across all new workloads.
Played a key role in Partner Center transformation, designing and launching features like Inbound Referral Routing, Deal Migration, and Solution Assessment—enabling a seamless migration from Partner Sales Connect (PSC) to the new Partner Center (PC).
Advocated self-serve tooling and internal documentation to democratize pipeline development, reducing dependency on core platform engineers.

Data PlatformData PipelinesOrchestrationGDPR ComplianceData Engineering

Supr daily

Senior Software Engineer

Jan 2019 – Jan 2020 · 1 yr · Bengaluru Area, India · On-site

Software DevelopmentTechnical ArchitectureProblem Solving

Oyo

Software Engineer

Jan 2018 – Jan 2019 · 1 yr · Bengaluru Area, India · On-site

Worked with OYO Life as Backend Developer. Developed REST APIs, third party integrations such as MoEngage.

Backend DevelopmentREST APIsIntegrationsSoftware Development

Infosys

Software Engineer

Jul 2016 – Jan 2018 · 1 yr 6 mos · Bengaluru Area, India · On-site

April 2017 - November 2017 (Unity3D, C#, SQLite)
Working in the field of AR/VR with the Advanced Engineering Group.
Industrial applications of AR/VR, Virtual factory layouts, Digital Twins of engineering processes.
Developing IOT+AR/VR solutions and accelerators for providing quick resolutions.
Developed and delivered 4 products with my team as per client requirements.
Introduced the team to new and more efficient tools to streamline the development process.
Developed reusable assets which can be used with Unity 3D.
Contributed to team skill development my taking regular training sessions.
August 2016 - March 2017 (Java, JUnit, No SQL-Cassandra)
Worked with a team building a Marketplace Platform.
Implemented a complete REST service, worked with the initial UI.
Did functional and integration JUnit testing, achieved a code coverage of 85% for the back-end.
Implemented a data migration tool for Cassandra to take care of the data inconsistency problem arising due to new fields being added to the tables.

AR/VR DevelopmentIoT SolutionsREST ServicesSoftware Development

Indian institute of technology, kanpur

Overall Placement Coordinator

Jan 2015 – Jan 2016 · 1 yr · Kanpur Area, India

The Students' Placement Office (SPO) is run and managed by an efficient team of office staff & students and handles all aspects of placements at IIT Kanpur. Right from contacting companies to managing all logistics of arranging for tests, pre-placement talks and conducting final interviews the SPO team provides it's best possible assistance to the recruiters.
The work of OPC involves working a team of students from the final and pre-final year so that all the activities of the SPO goes on smoothly.