Avik Ghosh

About Avik Ghosh

Senior Product Manager (Technical) at AWS building distributed data and compute infrastructure: storage tiers, data access APIs/ query paths, and hybrid edge-cloud platforms used by Fortune 500 enterprises.10+ years building large-scale data systems:– 6 years at AWS building hyperscale data platforms (IoT SiteWise, IoT TwinMaker)– 7 years building distributed industrial data systems (MES, historians, SCADA) at AVEVACore expertise:Distributed data planes · storage engines · query execution · high-throughput ingestion · real-time analytics · hybrid edge–cloud systems · infrastructure economics · time-series platformsSelected enterprise customers:Toyota · Siemens Energy · Yara · Merck · Bristol-Myers SquibbPrimary focus areas:– Data platform architecture: distributed storage, high-throughput ingestion, SQL/ODBC interfaces, knowledge graph optimization– Infrastructure economics: multi-tier storage, decoupled compute-storage architectures, TCO optimization for large enterprise deployments– Compute orchestration: edge-to-cloud pipelines, distributed processing, real-time inference workloads– Ecosystem: 30+ partnerships with enterprise integrators and analytics/AI ISVsTechnical domains:Distributed systems · object storage · time-series databases · query engines · event-driven architectures · edge compute · knowledge graphsAWS re:Invent speaker | Published AWS IoT author

Experience

1. Senior Product Manager - Technical, Aws Iot Sitewise

   Amazon Web Services (AWS)

   Apr 2022 — Present · Austin, TX, US

   Led platform strategy for industrial data, digital twin, and autonomous operations—enabling Physical AI, robotics, edge AI, and real-time manufacturing intelligence for Fortune 500 enterprises across automotive, energy, pharma, and discrete manufacturing- Product strategy: Architected storage, data access APIs, and tiered pricing (hot/warm/cold) for petabyte-scale industrial deployments. Prioritized ML-readiness and data accessibility over feature breadth, establishing foundation for autonomous operations and digital twin workflows- 0-to-1 capabilities: Shipped time-series SQL, ODBC connectivity, bulk import, metadata APIs. Transformed customer integration from weeks of custom development to self-service analytics at Fortune 500 scale- Customer engagement: Direct relationships with Fortune 500 technology executives at automotive OEMs, energy companies, and industrial conglomerates. Translated operational constraints into roadmap priorities—enabling enterprises to operationalize decades of historian data for AI/ML- Cross-functional leadership: Aligned engineering, sales, GTM on core storage, egress, and integration features- Ecosystem strategy: Created ISV/GSI partnership framework with API documentation and reference architectures for robotics integration, predictive maintenance, and edge AI deployments. Scaled platform adoption through ecosystem expansion- Thought leadership: Published author on industrial data platforms and AI integration for manufacturing. Industry speaker on Physical AI, digital twin, and autonomous operations. Established platform credibility in brownfield industrial AI with Fortune 500 operations leaders and robotics communities.

Education

• West Bengal University of Technology, Kolkata

  B.Tech, Computer Sc. & Engineering

  2001 — 2005

Skills

• Testing
• Opc
• Automation
• Wonderware
• Mes-Erp Integration
• Software Development Life Cycle (Sdlc)
• Sql
• Microsoft Sql Server
• Software Development
• Scada
• Requirements Analysis
• C#
• .net
• Engineering
• Software Engineering
• Vb.net
• Manufacturing
• Product Development
• Troubleshooting
• Software Project Management
• Pre-Sales
• Sdlc
• Integration
• Mes
• Hmis
• Process Automation
• Product Design
• Gxp