Hemant Rathore — CEO

I help data-driven organizations solve scalability, reliability, and cost challenges by building modern cloud and AI-enabled data platforms that accelerate decision-making at scale, without compromising agility or quality. Over the past 20 years, I’ve led multi-team engineering organizations and built platforms that support billions in transactions, ad spend, and analytics decisions. My work centers on transforming complex data ecosystems into business leverage through architecture modernization, cloud optimization, automation, and AI-driven innovation. At Teikametrics, I lead the Channel Integration, Data Engineering, and BI teams behind the Flywheel platform, empowering 2,500+ brands and automating 750M+ bid adjustments each month. I also delivered 80% reduction in data infrastructure cost through cloud modernization and led the adoption of Generative AI and agentic automation, positioning Flywheel as a data and AI-native optimization engine. Previously at Druva, I built the Governance Engineering function from scratch, delivering enterprise-grade eDiscovery, Compliance, and Enterprise Search capabilities that became core SaaS offerings used by global customers. I’m passionate about scaling Data & AI engineering organizations, driving platform strategy, and turning complex technical foundations into measurable business impact. Open to leadership roles where I can build and scale the next generation of cloud, data, and AI platforms.

Stackforce AI infers this person is a SaaS and Infrastructure expert with a strong focus on data engineering and cloud optimization.

Location: Dubai, United Arab Emirates

Experience: 19 yrs 10 mos

Skills

Data Engineering
Cloud Architecture
Agile Methodologies
Engineering Leadership
System Reliability
Quality Transformation
Compliance
Ediscovery

Career Highlights

Led teams delivering billions in transactions.
Achieved 80% reduction in data infrastructure costs.
Pioneered AI-driven data platform innovations.

Work Experience

Teikametrics

Director of Data (4 yrs 9 mos)

Optum

Senior Engineering Manager (1 yr 6 mos)

Nutanix

Engineering Manager (11 mos)

Druva

Engineering Manager (2 yrs 9 mos)

Alethea Communications Technologies

Founding Member (5 yrs 1 mo)

Anite (Acquired by Keysight Nemo Wireless)

Lead Engineer (3 yrs 9 mos)

Ashley Laurent (Acquired by Cisco)

Software Engineer (1 yr)

Education

Executive General Management Programme at Indian Institute of Management Bangalore

Bachelor of Technology (B.Tech.) at Indian Institute of Technology, Delhi

Hemant Rathore

CEO

Dubai, United Arab Emirates19 yrs 10 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Led teams delivering billions in transactions.
Achieved 80% reduction in data infrastructure costs.
Pioneered AI-driven data platform innovations.

Stackforce AI infers this person is a SaaS and Infrastructure expert with a strong focus on data engineering and cloud optimization.

Contact

hrathore@teikametrics.com +919945450834 LinkedIn

Skills

Core Skills

Data EngineeringCloud ArchitectureAgile MethodologiesEngineering LeadershipSystem ReliabilityQuality TransformationComplianceEdiscovery

Other Skills

AI/ML PlatformsAgile Project ManagementAlgorithmsCI/CDCloud ComputingCloud ServicesCost OptimizationCross-Functional CollaborationCultural TransformationData PipelinesData PlatformsData StructuresDatabasesDefining RequirementsDevOps Automation

About

Experience

Teikametrics

Director of Data

Jun 2021 – Present · 4 yrs 9 mos · Remote

Teikametrics helps sellers and brand owners maximize their potential on Amazon & Walmart marketplaces by combining data, AI and expertise.
Led three high-performing engineering teams (Channel Integration, Data Engineering, Business Intelligence), delivering unified data and analytics solutions across global marketplaces.
Enabled 2500+ brands to optimize $10B+ GMV and $1B+ ad sales annually by scaling data infrastructure across Amazon, Walmart and TikTok.
Modernized bidding systems through Amazon Market Stream integration, achieving 6x faster bid decisions and 750M+ automated bid adjustments/month, significantly improving advertising performance and ROAS.
Consolidated the data stack (Snowflake → Databricks) and optimized backend pipelines, driving 50% lower ingestion costs (RabbitMQ → AWS SQS), 99% lower secrets management costs (AWS Secrets Manager → DynamoDB), and reducing seller onboarding latency from 24 hours to 6.
Championing GenAI experimentation within Data Engineering and BI - piloting AI-assisted coding, analytics automation, and agentic workflows to evolve the team’s speed, quality, and data insight capabilities.
Delivered Flywheel 2.0, a unified optimization platform combining advertising, market intelligence, inventory forecasting, BI, and campaign automation, expanding enterprise-scale capabilities.
Redesigned the Market Intelligence suite, delivering share-of-voice, competitor insights, and category benchmarks from large-scale marketplace data to guide brand strategy.
Expanded marketplace integrations from Amazon-only to Walmart and TikTok Shop, enabling multi-channel commerce analytics and accelerating customer acquisition.
Enhanced BI capabilities with Flywheel’s Agency Edition, supporting nested accounts, cross-client reporting, and scalable dashboards for agencies and large enterprises clients.

Data EngineeringCloud ArchitectureData PlatformsAI/ML PlatformsData PipelinesSoftware Development+2

Optum

Senior Engineering Manager

Nov 2019 – May 2021 · 1 yr 6 mos · Bengaluru, Karnataka

Led cross-functional agile teams to deliver the Provider Enrollment Portal, a multi-million-dollar digital transformation initiative for U.S. state governments under the Medicaid and Medicare programs.
Partnered with U.S. product and business leadership to align engineering outcomes with regulatory and operational objectives, ensuring delivery within scope, budget, and compliance requirements.
Established Agile delivery frameworks and measurable engineering KPIs, improving predictability and accelerating release velocity.
Championed DevOps automation and CI/CD adoption, reducing release cycles by over 70% and significantly lowering production defects.
Mentored engineering leads and senior developers, fostering a high-performance, ownership-driven culture across distributed teams.

Agile MethodologiesDevOps AutomationCI/CDStakeholder ManagementEngineering Leadership

Nutanix

Engineering Manager

May 2018 – Apr 2019 · 11 mos · Bengaluru Area, India

Nutanix is a Hyper-converged infrastructure software company that simplifies data center operations, offering scalability, flexibility, and cost-efficiency.
Led the development of Nutanix Cluster Health, an intelligent observability and diagnostics platform that proactively identified infrastructure issues and prevented outages across enterprise deployments.
Partnered with cross-functional teams (SRE, UX, and Core Infrastructure) to enhance the LogBay log-collection framework, enabling multi-node aggregation, data anonymization, and faster RCA for customer support.
Defined engineering KPIs around system reliability and telemetry coverage, improving mean time to detection (MTTD) and mean time to resolution (MTTR) across Nutanix’s enterprise deployments.
Drove a quality transformation initiative, reducing open defects from 800 to under 100 within a year through stronger automation, prioritization, and process governance.
Collaborated with UI/UX teams to create actionable dashboards for cluster health visualization within Prism Central, improving usability for enterprise customers.

System ReliabilityTelemetry CoverageCross-Functional CollaborationQuality Transformation

Druva

Engineering Manager

Jul 2015 – Apr 2018 · 2 yrs 9 mos · Pune Area, India

Druva is the global leader in cloud data protection and management, delivering the industry’s first Data Management-as-a-Service solution.
Established and scaled the Governance engineering function for Druva’s inSync platform, growing the team from 3 to 12 engineers and laying the foundation for what has since evolved into a 40+ member organization.
Led the design and delivery of eDiscovery and Legal Hold capabilities, enabling secure custodian data preservation and defensible audit trails for enterprise legal and compliance teams.
Developed and deployed Proactive Compliance scanning with policy-driven detection of PII and regulatory violations, improving compliance visibility and reducing incident response effort.
Built Enterprise Search across endpoints and cloud applications, providing instant, contextual access to backed-up data and accelerating investigation and response times.
Architected a service-oriented transition of existing features, implemented phased AWS-based deployment strategies, and enhanced scalability, maintainability, and risk control across releases.

eDiscoveryComplianceLegal HoldEnterprise Search