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Samyuktha Potla

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Data Engineer at PNC Financial Services
United States

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Résumé


Jobs verified_user 0% verified
  • P
    Data Engineer
    PNC Financial Services
    Jan 2023 - Current (2 years 7 months)
    • Optimized Sparkjobs using partitioning and caching techniques, achieving a 3x performance improvement for complex data aggregations and feature engineering tasks. • Orchestrated data pipelines using Airflow to automate data ingestion, transformation, and loading tasks between data sources (Kafka, HDFS) and data warehouses, ensuring reliable and scheduled data delivery for BI dashboards. • Developed and deployed serverless Lambda functions for data processing tasks, reducing infrastructure costs by 20%. • Improved Snowflake data ingestion pipelines' efficiency by 25% through clustering and partitioning techniques. • Implemented Kafka for real-time data streaming across applications, enhancing data accessibility and application respons
  • X
    Data Engineer
    X-Logic Technologies|
    Jan 2020 - Nov 2021 (1 year 11 months)
    • Automated daily data ingestion pipelines using Airflow, ensuring timely data availability for machine learning models, resulting in a 10% improvement in model accuracy. • Enhanced Azure Data Factory pipelines for automating data ingestion, transformation, and loading processes, reducing processing time by 30%. • Developed HiveQL queries to extract, transform, and load (ETL) data into the data warehouse. • Utilized Apache Spark and Python (Pandas, NumPy, BeautifulSoup) for ETL workflows, improving data processing efficiency and accuracy. • Leveraged Databricks for data visualization and model deployment, streamlining the transition from data processing to model production. • Conducted data quality checks and cleansing routines within
Education verified_user 0% verified
  • N
    Master of Science
    Northwest Missouri State University
  • B
    Bachelor of Technology
    BVRIT Hyderabad College of Engineering for Women