Vaishnavi Dasari

Aug 2024 — Present

• Built large‑scale ETL pipelines using Informatica PowerCenter and Azure Data Factory processing 5TB+ healthcare data daily.
• Designed Snowflake warehouse architecture with Python transformations using Snowpark enabling analytics for 200+ users.
• Implemented monitoring using Azure Monitor and Splunk to track pipeline latency and SLA performance.
• Optimized SQL and warehouse workloads reducing data processing time by 40% and saving $15K/month compute cost.
• Developed Power BI dashboards for pharmacy analytics and healthcare operations.
• Implemented CI/CD pipelines using Jenkins and GitHub Actions for automated ETL deployments.

May 2021 — Jul 2023

• Built ETL pipelines using Informatica PowerCenter processing 10M+ financial transactions daily.
• Engineered Spark pipelines on Hadoop improving large‑scale processing performance by 50%.
• Optimized Oracle and SQL Server databases reducing query execution time by 60%.
• Implemented automated data quality frameworks reducing defects by 45%.
• Integrated enterprise data sources including Oracle, MongoDB, and REST APIs.
• Provided production support and root‑cause analysis improving pipeline reliability.

Jan 2024 — Jul 2024

• Built end‑to‑end AI medical imaging pipeline using Python, LangGraph, and Google Cloud Vertex AI.
• Processed 1,000+ brain MRI scans with CNN classification and Gemini LLM diagnostic report generation.
• Designed multi‑agent AI architecture for automated analysis and NLP‑based reporting.
• Deployed models on Vertex AI achieving 53.5% agreement rate between CNN and LLM predictions.
• Developed preprocessing pipelines using Python improving model training efficiency by 40%.
• Implemented MLOps practices including version control, automated testing, and reproducible workflows.