Chintan Shah — Product Manager
Data alchemist - transforming raw data into valuable business solutions using AI/BI tools and services 20+ years of experience in software industry guiding multiple projects on data architecture and modeling, performance improvement, data governance and actionable insights. Strong in quickly grasping the business domain and underlying entity relationships. Currently leading the Analytics CoE at ElasticRun, a B2B eCommerce platform for rural India. Responsible for establishing data-driven culture across the organization and enable business growth and innovation through data-oriented solutions. Key achievements • Successfully spearheaded the Analytics team in a significant clean-up + migration effort, consolidating 7,000+ reports into 30 standardized dashboards • Currently implementing Conversational Analytics use cases using Databricks Genie and Fabric Data Agents with Pandas AI and LIDA for natural language charts + Open WebUI and Google Chat for user interface • Deep dive into TiDB architecture for optimal setup configurations and query tuning • Developed an automated data archival framework for scaling Python Frappe-based apps • Evaluation, migration and adoption of Azure Databricks + Embedded Power BI / Fabric • Designed and implemented ML-based digital bot simulator, improving SLA adherence by 35% • Worked out a dynamic partitioning strategy + optimal drive configurations for IOPS resulting in annual savings of US$600K for a large retail client Key strengths • Ingrained analytical mindset • Data crunching skills with a keen eye for details • Agility for tactical wins coupled with awareness for informed strategic ideation Primary skills • Data visualisation - BI, Advanced analytics, Conversational analytics, Storytelling and Ux • Data architecture - DB modelling, design, infra and Query tuning • Data engineering - ETL/ELT, Data Lake/Data mesh, Lineage, Semantic modelling and integration Secondary skills • Data science - EDA, Feature Engg, Machine Learning (ML), Forecasting • Data governance - Data quality, security, accountability, metadata and compliance • Currently exploring Gen AI and Agentic AI use case implementations Tools and technologies • RDBMS - MySQL, MS SQL Server, PostgreSQL(with PgVector) • Data Platforms - Databricks, Azure Fabric • BI Tools - Power BI, Metabase, Excel/Gsheet, Grafana, Kibana, Looker • OLAP - TiDB, Delta Table, Click House • ElasticSearch, ChromaDB, MongoDB • Programming- Python, PySpark, Shell scripting, Javascript • GenAI - Open WebUI, Text2SQL, Chat2Chart, Azure AI Foundry, Google Cloud AI
Stackforce AI infers this person is a B2B eCommerce and SaaS expert with strong data architecture and analytics capabilities.
Location: Pune, Maharashtra, India
Experience: 24 yrs 6 mos
Skills
- Data Architecture
- Data Visualization
- Data Engineering
- Data Governance
- Machine Learning
- Performance Tuning
- Software Development
Career Highlights
- Consolidated 7,000+ reports into 30 dashboards.
- Implemented ML-based solutions improving SLA adherence by 35%.
- Achieved $600K savings through optimal drive configurations.
Work Experience
ElasticRun
Senior Principal Architect (Analytics) (2 yrs 11 mos)
Principal Engineer (Analytics) (1 yr 6 mos)
EdgeVerve
Product Architect (7 yrs 3 mos)
Infosys Ltd
Database Architect (1 yr 11 mos)
Technology Lead (5 yrs 2 mos)
Software Engineer (3 yrs 5 mos)
Medical Technologies Ltd.
Development Engineer (2 yrs 3 mos)
Education
Bachelor of Engineering - BE at Gujarat University