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Hetal Pambhar
Mid-level Data Engineer and Analytics Analyst specializing in business growth and marketing insights
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About
Analytics professional with operations-grounded experience at WWEX Group who built a Snowflake/dbt fleet-efficiency data model combining telematics, ERP, and driver logs into near real-time executive reporting. They pair strong SQL/Python workflow automation with practical stakeholder enablement, and cite measurable impact including cutting reporting time from 72 hours to 15 minutes and helping drive $450K in quarterly fuel savings.
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Key Strengths
- Built centralized Snowflake source-of-truth table from GPS, ERP, and HR data
- Strong SQL data modeling and transformation for large messy datasets
- Performance optimization through partitioning by date and region
- Hands-on data quality remediation for ghost pings and missing driver links
- Validated pipelines with dbt tests and statistical checks
- Reduced reporting latency from 72 hours to 15 minutes
- Delivered $450K fuel cost savings in one quarter
- Built reproducible Python analytics workflows with modular ETL structure
- Generated product insight by linking support tickets with product usage data
- Identified feature fatigue and influenced product simplification strategy
- Bridges technical and non-technical stakeholders effectively
- Designed executive dashboards with frequent refresh and clear KPI context
- Operational analytics expertise in fleet, warehouse, routing, and delivery performance
- Drove BI adoption through role-based workshops, internal champions, and office hours
Reference Highlights
- high quality analytics work
- strong hands-on technical skills
- effective with large terabyte-scale datasets
- well-optimized SQL querying
- clear understanding of performance considerations
- clear understanding of data quality considerations
- built reliable reporting foundations
- reduced manual reporting effort
- improved operational efficiency
- enabled faster data-informed decisions
- created timely executive visibility into key metrics
- effective at translating stakeholder needs into consistent reporting
- strong at defining and operationalizing metrics
- enabled actionable segmentation and trend-based analysis
- surfaced retention risks and growth opportunities
- connected metric definition to practical business use
- effective communicator with non-technical stakeholders
- strong upfront requirements gathering
- proactive about blockers, dependencies, and data limitations
- explained findings in business terms
- built trust in the data
- supported leadership decision making
- improved reporting efficiency
- reduced manual effort
- faster insight delivery
- reduced report turnaround time by 20-25%
- increased team productivity by 15-20%
- good SQL knowledge
- strong testing skills
- automation capability
- great understanding of data
- proactively suggested improvements
- good at decision making
- great at communicating requirements with users
- frequent follow-up to meet deadlines
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