Vineela Velaga

About Vineela Velaga

Data Engineer with 3 years of experience in scalable ETL pipelines, data warehousing, and machine learning workflows. Skilled in Python, SQL, Apache Spark, and cloud platforms (AWS, GCP, Azure). Proficient in creating data models, automating pipelines, and building dashboards. Experienced in deploying machine learning models, optimizing CI/CD processes, and improving efficiency by 30%, leading to enhanced system reliability and faster data processing.

Experience

1. Data Engineer

   Doublene Technology LLC

   Jan 2024 — Present · Austin, TX, US

   Spearheaded the development of a scalable ETL pipeline using PySpark, reducing data processing time by 25% across the organization.• Designed and implemented Star Schema Data Models to support high-volume reporting systems, enhancing query efficiency by 40%.• Worked with AWS Redshift for data warehousing solutions, optimizing storage and query performance to reduce costs by 25%.• Created interactive Power BI dashboards, improving decision-making efficiency by 15% for operational teams.• Collaborated with data science teams to prepare and validate datasets for machine learning models, ensuring 98% data completeness and 95% accuracy, improving model training efficiency.• Automated deployment workflows using Git and Jenkins, reducing deployment errors and lead time by 30%.• Conducted root cause analysis for production data anomalies, achieving 95% reliability for critical data systems.• Improved data consistency and quality by writing complex SQL scripts to perform data validation and transformation tasks, achieving a 98% data accuracy rate.

Education

• Montclair State University

  Master of Science - MS

  2022 — 2024

• Velagapudi Ramakrishna Siddhartha Engineering College

  B.tech

  2017 — 2021