Vivek Chandra Joshi

Product Manager

Bangalore, Karnataka, India11 yrs 10 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Led a team of 50 engineers in data architecture.
  • Established Azure infrastructure for ML initiatives.
  • Engineered Industrial IoT platforms for actionable insights.
Stackforce AI infers this person is a Data Engineering and Cloud Architecture expert with extensive experience in IoT and Data Science.

Contact

Skills

Core Skills

Data EngineeringData ArchitectureData ScienceMachine LearningCloud ArchitectureSoftware EngineeringIot DevelopmentWeb Development

Other Skills

AWSDatabricksApache AirflowSnapLogicSnowflakeSAPSalesforceUnicomersETLData ProcessingAzureXGBoostStatistical AnalysisGPT ModelsData Analytics

About

As a Data Engineering Manager and former AGM – Data Science at Welspun, I bring a unique blend of technical depth, strategic vision, and leadership to build scalable, data-driven ecosystems that accelerate digital transformation. With over a decade of experience spanning data engineering, data science, and application development, I lead high-performing teams to deliver solutions that convert data into business value. In my current role, I manage a dynamic team of 50 engineers, driving excellence in data architecture, analytics platforms, and advanced automation. I focus on creating a culture of ownership, innovation, and collaboration—ensuring that every solution we build enhances reliability, performance, and business impact. During my tenure as Assistant General Manager – Data Science at Welspun, I led initiatives in predictive analytics, machine learning model deployment, and data strategy alignment with business goals. My team partnered with cross-functional stakeholders to develop data-driven insights across manufacturing, supply chain, and customer experience, enabling measurable improvements in efficiency, forecasting accuracy, and operational excellence. My expertise includes: Data Engineering: ETL/ELT pipeline design, data warehousing, real-time processing, and cloud data infrastructure (AWS, Azure, GCP) Data Science: Predictive modeling, machine learning, statistical analysis, and AI integration Technology Stack: Python, SQL, Spark, Kafka, Airflow, Databricks, Docker, Kubernetes, Tableau, Power BI Leadership: People management, strategic planning, stakeholder engagement, agile delivery, and talent development Previously, I’ve developed products and data platforms for enterprise clients such as American Care, Doorsplus, Bluestone, Synergy Sports, Haldor Topsoe, CHS McPherson, and Twitter, as well as multiple venture-backed startups. This hands-on experience gives me a well-rounded perspective—balancing engineering excellence with business pragmatism. I’m passionate about turning complex data challenges into simple, actionable solutions and building systems that scale intelligently. Whether leading data modernization initiatives or mentoring emerging leaders, my goal is to make data a strategic asset for every organization I work with. Outside of work, I’m a passionate biker and explorer—I’ve completed long rides spanning over 3,000 KM—and I enjoy cooking, gardening, and discovering new places that inspire creativity and balance.

Experience

11 yrs 10 mos
Total Experience
1 yr 8 mos
Average Tenure
1 yr 8 mos
Current Experience

Ganit inc.

Data Engineering Manager

Sep 2024Present · 1 yr 8 mos · Bengaluru · On-site

  • 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗱 𝗮 𝗖𝗲𝗻𝘁𝗿𝗮𝗹𝗶𝘇𝗲𝗱 𝗗𝗮𝘁𝗮 𝗟𝗮𝗸𝗲 integrating multiple sources such as SAP, Salesforce, Unicomers, and other enterprise systems to provide a unified view of organizational data.
  • 𝗗𝗲𝘀𝗶𝗴𝗻𝗲𝗱 & 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗲𝗱 𝗘𝗻𝗱-𝘁𝗼-𝗘𝗻𝗱 𝗗𝗮𝘁𝗮 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀, automating extraction, transformation, and loading of data to ensure accuracy, consistency, and timely availability for business decision-making.
  • 𝗘𝗻𝗮𝗯𝗹𝗲𝗱 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 by providing actionable, meaningful analytics from integrated data, supporting strategic and operational decisions across teams.
  • 𝗨𝘁𝗶𝗹𝗶𝘇𝗲𝗱 𝗔 𝗪𝗶𝗱𝗲 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗦𝘁𝗮𝗰𝗸 including SnapLogic, AWS AppFlow, AWS Glue, Apache Airflow, Snowflake, and Databricks to ensure scalable, reliable, and efficient data processing.
  • 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗲𝗱 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 & 𝗔𝗹𝗲𝗿𝘁𝗶𝗻𝗴 mechanisms to maintain pipeline performance and data integrity.
  • 𝗦𝘁𝗿𝗲𝗻𝗴𝘁𝗵𝗲𝗻𝗲𝗱 𝗗𝗮𝘁𝗮-𝗗𝗿𝗶𝘃𝗲𝗻 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝗠𝗮𝗸𝗶𝗻𝗴, allowing business leaders to act quickly on insights and improve overall organizational efficiency.
AWSDatabricksApache AirflowSnapLogicSnowflakeData Engineering+1

Welspun living limited

Assistant General Manager Data Science

Dec 2023Sep 2024 · 9 mos · Mumbai, Maharashtra, India · On-site

  • 𝗘𝘀𝘁𝗮𝗯𝗹𝗶𝘀𝗵𝗲𝗱 𝗔𝘇𝘂𝗿𝗲 & 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 from scratch to support org-wide ML initiatives.
  • 𝗕𝘂𝗶𝗹𝘁 & 𝗠𝗲𝗻𝘁𝗼𝗿𝗲𝗱 𝘁𝗵𝗲 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗧𝗲𝗮𝗺, leading hiring and onboarding while translating complex models into KPI-driven actions for senior leadership.
  • 𝗖𝗼𝗻𝗱𝘂𝗰𝘁𝗲𝗱 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗮𝗹 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗼𝗻 𝗣𝗿𝗲𝘃𝗲𝗻𝘁𝗶𝘃𝗲 𝗠𝗮𝗶𝗻𝘁𝗲𝗻𝗮𝗻𝗰𝗲, optimizing asset reliability and significantly reducing unplanned downtime costs using the IIOT 4.0 sensiors data.
  • 𝗕𝘂𝗶𝗹𝘁 𝗮𝗻 𝗘𝗻𝗱-𝘁𝗼-𝗘𝗻𝗱 𝗦𝗲𝗻𝘁𝗶𝗺𝗲𝗻𝘁 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 using GPT models, providing near real-time customer engagement metrics and satisfaction dashboards.
  • 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗱 '𝗚𝗲𝗻𝗶𝗲' (𝗔𝗜-𝗗𝗿𝗶𝘃𝗲𝗻 𝗣&𝗟 𝗖𝗵𝗮𝘁𝗯𝗼𝘁) on Databricks, utilizing Unity Catalog for governance to democratize financial insights for non-tech stakeholders via natural language querying.
  • 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝗲𝗱 𝗗𝘆𝗻𝗮𝗺𝗶𝗰 𝗣𝗿𝗶𝗰𝗶𝗻𝗴 & 𝗔𝗱 𝗦𝗽𝗲𝗻𝗱 𝗘𝗻𝗴𝗶𝗻𝗲𝘀 using XGBoost & SKU Clustering, leveraging competitor signals and macroeconomic data to maximize DRR and profitability.
  • 𝗔𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗲𝗱 𝗥𝗲𝘁𝗮𝗶𝗹 𝗜𝗺𝗮𝗴𝗲 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 by 24x (reducing processing from 24h to 1h) via cloud automation, enabling rapid competitor analysis.
  • 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗲𝗱 𝗠𝗮𝗿𝗸𝗲𝘁 𝗕𝗮𝘀𝗸𝗲𝘁 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 & 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 models to identify cross-selling opportunities and predict consumer behavior for successful market entry strategies.
  • 𝗗𝗲𝗽𝗹𝗼𝘆𝗲𝗱 𝗔𝗮𝗱𝗵𝗮𝗿 𝗢𝗖𝗥 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 for automated employee validation and feedback processing, enhancing operational compliance.
AzureDatabricksXGBoostStatistical AnalysisMachine LearningData Science

Cloudcover, part of st telemedia cloud

Lead Technical Consultant Cloud Migrations

Apr 2023Dec 2023 · 8 mos · Pune, Maharashtra, India · Remote

  • 𝗟𝗲𝗱 𝗣𝗿𝗲-𝗦𝗮𝗹𝗲𝘀 & 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆: Owned technical discovery, SOWs, and stakeholder management while mentoring teams to standardize frameworks.
  • 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝗲𝗱 𝗦𝗰𝗮𝗹𝗲: Designed a PB-scale Data Mesh (GCP) and a Healthcare Data Lake (AWS/Databricks) for advanced analytics.
  • 𝗭𝗲𝗿𝗼-𝗗𝗼𝘄𝗻𝘁𝗶𝗺𝗲 𝗠𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Moved ~24 DBs (RDS → GCP AlloyDB & CloudSQL) with <15 min cutover and zero failure.
  • 𝗛𝗶𝗴𝗵-𝗧𝗵𝗿𝗼𝘂𝗴𝗵𝗽𝘂𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: Migrated CosmosDB → Spanner (120k writes/sec) and Redshift/Mongo → BigTable (75k ops/sec) in near real-time.
  • 𝗕𝗶𝗴 𝗗𝗮𝘁𝗮 𝗠𝗼𝗱𝗲𝗿𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Delivered multi-PB BigQuery → Snowflake migration (<6 months) and 10TB+ Cloudera → Spark on GCP transformation.
  • 𝗖𝗼𝗺𝗽𝗹𝗲𝘅 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗗𝗲𝘀𝗶𝗴𝗻: Built real-time Dataflow pipelines (DynamoDB → BigTable) with inflight transformations and cross-region consistency validation.
GCPAWSData MeshCloud MigrationCloud ArchitectureData Engineering

Airbnb

Lead Analytics Engineer

Aug 2022Apr 2023 · 8 mos · India

Twitter

2 roles

Technical Lead

Jun 2021Aug 2022 · 1 yr 2 mos

Senior Software Engineer

Jul 2019Jun 2021 · 1 yr 11 mos

Haldor topsoe a/s

Senior Software Engineer IIOT 4.0

Oct 2017Jun 2019 · 1 yr 8 mos · Faridabad, Haryana, India · On-site

  • 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗲𝗱 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗜𝗼𝗧 (𝗜𝗜𝗼𝗧) 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 using Clojure & React, translating sensor data into actionable plant analytics (True Temp Application).
  • 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗱 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝗮𝗹 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 for chemical plant monitoring, calculating product key fields based on real-time temperature data.
  • 𝗧𝗿𝗮𝗻𝘀𝗹𝗮𝘁𝗲𝗱 𝗰𝗼𝗺𝗽𝗹𝗲𝘅 𝗰𝗵𝗲𝗺𝗶𝗰𝗮𝗹 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗹𝗼𝗴𝗶𝗰 into software specifications and scalable database schemas in MongoDB.
  • 𝗣𝗮𝗿𝘁𝗻𝗲𝗿𝗲𝗱 𝘄𝗶𝘁𝗵 𝗢𝗘𝗠𝘀 (𝗛𝗼𝗻𝗲𝘆𝘄𝗲𝗹𝗹, 𝗦𝗰𝗵𝗻𝗲𝗶𝗱𝗲𝗿) to unlock data from proprietary edge devices, designing the ingestion layer to stream telemetry into a unified 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗗𝗮𝘁𝗮 𝗟𝗮𝗸𝗲.
ClojureReactMongoDBSoftware EngineeringIoT Development

Smartdata enterprises inc.

2 roles

Senior Software Associate

Promoted

Aug 2017Oct 2017 · 2 mos

  • 𝗟𝗲𝗱 𝗟𝗲𝗴𝗮𝗰𝘆 𝗠𝗼𝗱𝗲𝗿𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Spearheaded the transition of legacy systems to modern MEAN Stack (Angular/Node) architectures for high-traffic sports analytics (Synergy Sports).
  • 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝗲𝗱 𝗖𝗼𝗴𝗻𝗶𝘁𝗶𝘃𝗲 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀: Designed AI/NLP modules integrating IBM Watson & API.ai, leveraging RxJS for reactive data processing.
  • 𝗘𝘀𝘁𝗮𝗯𝗹𝗶𝘀𝗵𝗲𝗱 𝗖𝗜/𝗖𝗗 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀: implemented automated deployment workflows using TeamCity.
  • 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗲𝗱 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻: Engineered healthcare portals (Bluestone) with SignalR and WebSockets for secure doctor-nurse chat.
  • 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗱 𝗛𝘆𝗯𝗿𝗶𝗱 𝗠𝗼𝗯𝗶𝗹𝗲 𝗔𝗽𝗽𝘀: Built cross-platform solutions using Ionic & Cordova.
  • Maintained large-scale health information systems (American Care) using ASP.NET MVC and SQL Server.
AngularNode.jsIonicWeb DevelopmentSoftware Engineering

Software Associate

Apr 2014Aug 2017 · 3 yrs 4 mos

  • 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗱 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝗳𝗮𝗰𝗲𝘀: Engineered natural language processing (NLP) solutions using API.ai (Dialogflow) and React/Redux, creating context-aware virtual assistants capable of retaining dialogue history and user preferences.
  • 𝗘𝘅𝗲𝗰𝘂𝘁𝗲𝗱 .𝗡𝗘𝗧 𝘁𝗼 𝗠𝗘𝗔𝗡 𝗠𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Spearheaded the strategic migration of sports analytics platforms from legacy .NET to a scalable MEAN Stack (MongoDB, Express, Angular, Node.js), resolving complex architectural constraints.
  • 𝗘𝘀𝘁𝗮𝗯𝗹𝗶𝘀𝗵𝗲𝗱 𝗖𝗜/𝗖𝗗 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀: Implemented TeamCity for automated deployment, significantly reducing release cycles for high-traffic applications serving the NBA, WNBA, and ESPN.
  • 𝗗𝗲𝘀𝗶𝗴𝗻𝗲𝗱 𝗠𝗼𝗱𝘂𝗹𝗮𝗿 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲: Created the build process and client-side architecture for the "Future DMS" (Dealer Management System) using Angular 4 and Angular Material, enabling seamless data sharing between dealership families.
  • 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗲𝗱 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 𝗧𝗼𝗼𝗹𝘀: Integrated SignalR into healthcare portals to power instant doctor-nurse chat modules and secure live data synchronization.
API.aiReact.NETSoftware EngineeringWeb Development

Education

Narsee Monjee Institute of Management Studies (NMIMS) Navi Mumbai

Master of Business Administration - MBA — Business Analytics

Jan 2020Jan 2021

Scaler

Jul 2021Oct 2022

Amrapali University Haldwani

Master of Computer Applications (MCA) — Computer Software Engineering

Jan 2012Jan 2015

Pal College of Technology and Management, Haldwani

BCA — Computer Science

Jan 2009Jan 2012

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