Sravya Balijepalli
Analytics Engineer @Santa Cruz Bicycles
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WORK HISTORY
Analytics Engineer @Santa Cruz Bicycles
Santa Cruz, CA, US
Analytics Engineer | Pon Bike Performance Cluster (Santa Cruz Bicycles, Cervelo, One Up & more)Serve as Analytics Engineer across multiple Pon Bike brands, delivering scalable DBT models and analytical solutions to business leaders across North America and globally — spanning Sales, Marketing, HR, Finance, and Supply Chain.What I build:End-to-end ELT pipelines (Snowflake + DBT + Fivetran) ingesting data from Cin7, SAP, and other sources to power automated financial reporting and margin analysisCross-brand DBT models that unify disparate data from multiple Pon group brands into a single, reliable data layer for executive-level decision-makingPower BI dashboards with advanced DAX delivering real-time insights into sales performance, profit trends, and inventory healthKey wins:35% improvement in data accuracy post-Snowflake migration30% reduction in excess stock via automated SQL-based inventory classification engine99.9% data reliability through automated DBT testing frameworksGuaranteed consistent, reliable deployments across QA and Production using Git-based CI/CD — what gets tested is exactly what shipsStack: Snowflake · DBT · Fivetran · Power BI · SQL · Python · Git · CI/CD
EDUCATION
GITAM Deemed University
Bachelor's Degree
Northern Illinois University
Master's Degree, Management Information Systems and Services
GITAM Deemed University
Bachelor of Technology, Computer Science
ABOUT SRAVYA BALIJEPALLI
Results-driven Data Analyst with 5+ years of experience architecting end-to-end ELT pipelines and high-performance data models using Snowflake, DBT, and Fivetran. Currently serving multiple brands across the Pon Bike Performance Cluster (NA & Global), delivering analytical solutions to business leaders across Sales, Marketing, HR, Finance, and Supply Chain. Proven track record of owning the full data lifecycle from raw source ingestion to production Power BI dashboards while driving measurable outcomes: 35% improvement in data accuracy, 30% reduction in excess inventory, and significant Snowflake compute cost savings. Expert in DBT, advanced SQL, CI/CD pipelines, and translating complex, multi-domain business requirements into scalable, modular data architectures that serve global organizations.
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