Sachin Dewangan
Data Analytics | Data Engineering | Business Intelligence | Machine Learning | SQL | Python | Tableau | Power BI | Domo | Databricks | Snowflake | ELT | Airflow | Kafka
- Role
- Data and Insight Analyst at Ticketmaster
- Location
- Los Angeles, CA, US
- LinkedIn followers
- 500 followers
About Sachin Dewangan
ᴄʜɪʟʟɪɴ\' ᴡɪᴛʜ ᴛʜᴇ ʙᴏɪ
Experience
Data and Insight Analyst
Jun 2025 — Present · Beverly Hills, CA, US
Unified Data & Semantic Architecture: Led the analytics vision and integration layer for the Unified Fan Attendance Model (UADM), historically siloed systems into a single Databricks SQL source of truth validating 2B+ records.• Metric Codification & Alignment: Acted as the lead Semantic Architect to define, compute, and govern 21+ core metrics across 19 segmented dimensions. • Authored the comprehensive Attendance Matrix to drive consensus across Product, Analytics, and Engineering stakeholders.• Built scalable pipelines running on a 12x/day incremental schedule with atomic partition replacement to handle late-arriving data.• Agentic AI Integration: Pioneered an AI-assisted engineering practice using Claude Code, developing reusable skills (e.g, validate-x, add-column) to encode workflows, ensure reproducible regression testing, and lock institutional design rules.• Rebuilt core attendance & scan pipeline across xxM+ events, improving runtime 90%(4+ hours to 25 mins), reconciling multi-billion attendance/scan records.• Designed queue classification dataset (global scale: events, queues), uncovering systemic gaps (orders in abuse queues, unexpected queue inflows) and influencing PM/Director alignment on queue mechanics.• Delivered financial reporting dataset covering net tickets, net orders, and transaction value, fixing mismatches with enterprise-level reporting systems.• Built resale reporting events,$xB+ resale GTV,$xB+ resale lift), segmented by venue, ticket type, and pricing buckets, driving strategy for a multi-billion-dollar revenue stream.• Partnered with PMs, engineers, and directors to validate OMT on-sale management tool recreation (xxK events, xxM tickets, xM orders) with >99% accuracy vs. Java system, now trusted by VPs across global markets.
Education
Northeastern University
Master of Science - MS, Data Analytics Engineering
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