Khushboo Sheth

Architected and deployed scalable data pipelines using GCP (BigQuery, Dataflow, Cloud Storage) and AWS (S3, Glue, Redshift) to process clinical and regulatory data, improving throughput by 45%. Engineered web scraping solutions using Python (BeautifulSoup, Selenium), delivering 99%+ accuracy and reducing data collection cycles by 60%.

Partnered with business users to analyze data pain points and translate functional goals into GCP-native data processing workflows, improving stakeholder alignment and solution delivery speed by 35%. Designed end-to-end application logic for data cleansing, enrichment, and reporting; improved accuracy of outputs by 30% and reduced escalation rates.

Collaborated with cross-functional stakeholders to convert business logic into dynamic ETL models using GCP and Informatica, enabling smoother cross-platform integration and improving processing efficiency by 40%. Engineered high-throughput SQL scripts and parameterized stored procedures to boost data refresh rates for SLA-bound jobs by 50%.

Liaised with business stakeholders to gather reporting and data processing requirements, translating them into ETL-ready functional models that aligned with regulatory and performance objectives. Authored and fine-tuned SQL queries for custom data marts and ad hoc reporting, improving data quality and insight delivery by 30%.

Studied Electronics Engineering, focusing on fundamental concepts and practical applications. Gained a strong foundation in engineering principles relevant to various technological fields.