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Naga Suguna Anisha Suguna volati

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Telangana, India

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Jobs verified_user 0% verified
  • athenahealth
    Senior Data Engineer
    athenahealth
    Apr 2023 - Current (3 years 5 months)
    Architected and deployed high-performance data pipelines using Apache Airflow, Spark, and Python processing terabytes of patient health records, clinical data, and billing information from multiple healthcare systems, reducing data access latency by 45% and enabling real-time analytics for 10,000+ healthcare providers. Designed and optimized enterprise data warehouses on Amazon Redshift and Snowflake, implementing columnar storage, distribution keys, and materialized views, improving query performance by 60% for business analysts generating critical healthcare insights and operational reports. Migrated legacy on-premise ETL workflows to AWS cloud infrastructure using Lambda, Step Functions, and Glue, reducing operational costs by 10%, impro
  • Credit Acceptance
    Data Engineer
    Credit Acceptance
    Jun 2018 - Dec 2021 (3 years 7 months)
    Designed and implemented high-throughput, low-latency data streaming platform using Apache Kafka and Spark Structured Streaming, processing real-time credit applications, loan approvals, and scoring updates, reducing loan processing time by 40%. Developed scalable ETL pipelines with Apache Airflow automating ingestion of structured and semi-structured data from RESTful APIs, JSON, CSV, and Avro files, processing 10 million+ records daily from credit bureaus and financial institutions. Architected cloud-based data lakehouse on AWS using S3 for storage, Glue for ETL, Athena for analytics, and Lake Formation for governance, enabling cost-effective storage and fast querying of petabyte-scale customer credit histories and risk assessments. Lever
  • AMD
    Data Engineer
    AMD
    Jun 2016 - Jun 2018 (2 years 1 month)
    Developed scalable data pipelines using Apache Airflow and Spark to ingest, process, and analyze GPU performance benchmarking data, silicon testing results, and manufacturing quality metrics, significantly enhancing data processing efficiency by 50%. Designed and implemented enterprise data warehouse on Azure Synapse Analytics, enabling efficient storage and querying of large volumes of GPU performance data, thermal analysis results, and yield metrics, improving data retrieval times by 30%. Engineered end-to-end ETL workflows using Azure Data Factory (ADF), SQL transformations, and data replication techniques, ensuring seamless integration of data from on-premise testing facilities and cloud-based analytics platforms. Developed custom data
Education verified_user 0% verified
  • Sacred Heart University
    Master of Science in Business Analytics
    Sacred Heart University
    Fairfield, CT