Rushali Sengar

Data Engineer with 4+ years of experience building reliable, scalable data solutions. I specialize in turning complex, messy data into clear business insights using AWS, Snowflake, Python, PySpark, and Kafka. Over my career, I've successfully delivered data projects across a wide range of industries, including financial services, aviation, FMCG, and supply chain management.

Focus on data quality and authoritative sources: work emphasizes data source analysis, table mapping, authoritative dataset identification, schema tests, and validations to ensure consistency, reliability, and alignment with business rules.

Performance tuning and scalable analytics: experience building performance-optimized Snowflake views and materialized views, tuning queries for low-latency access, and implementing dbt-based pipelines with CI/CD for reliable, version-controlled analytics models.

Cross-functional collaboration with business impact: has partnered with Finance, Marketing, Operations, and business stakeholders to translate complex multi-source operational datasets into actionable insights and to deliver ad-hoc analytical reports that supported strategic decisions like route optimization and campaign planning.

Academic foundation in big data analytics: educational background lists a B.Tech in Computer Science & Engineering with specialization in Big Data Analytics (IBM collaboration) in the institute's 2017-21 annual report. edu