Sai Spandana Veginati

About Sai Spandana Veginati

Experienced Data Analyst with 4+ years of expertise in transforming complex data into actionable insights to drive business decisions. Proficient in Python, SQL, and advanced statistical analysis, with a strong background in data cleaning, wrangling, and visualization using tools like Tableau and Power BI. Skilled in creating and optimizing data pipelines, performing A/B testing, and applying machine learning models to improve predictive accuracy.

Experience

1. Data Engineer

   Netflix

   Jun 2024 — Present · CA, US

   Designed and deployed Python-based feature engineering pipelines using Pandas and Scikit-learn to automate data validation and enrichment, increasing ML model accuracy by 18% and reducing feature preparation time by 35%.Engineered a Delta Lake-based medallion architecture on AWS (S3, EMR, Glue), improving data discoverability, supporting schema evolution, and reducing batch processing costs by 25%.Developed scalable real-time and batch data pipelines using Apache Spark Structured Streaming, Apache Flink, and Apache Kafka to process 10TB+ daily viewer engagement data, cutting data latency from hours to seconds.Created modular, testable dbt models and SQL transformations for analytics-ready datasets, boosting data reliability by 40% through automated testing and documentation.Implemented CI/CD pipelines using GitHub Actions, Terraform, and EKS to deploy and manage Apache Airflow DAGs, achieving 60% fewer deployment failures and enabling version-controlled rollbacks.Collaborated with Machine Learning Engineers to design and productionize a real-time feature store, reducing model training latency by 30% and accelerating A/B testing cycles by 50%.

Education

• Teegala Krishna Reddy Engineering College

  Bachelor's degree, Electronics and Communication Engineering

• University of Cincinnati

  Master's degree, Information Technology