Anushruti Huilgol

Research Assistant at UVA Biocomplexity Institute
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Contact Information
us****@****om
(386) 825-5501
Location
Charlottesville, Virginia, United States, US

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Piyush Paras

I have had the pleasure of working with Anushruti for the past three years at Informatica, where she has been a valuable member of the Master Data Management team. In her role at Informatica, Anushruti has been responsible for designing, building, and maintaining data pipelines. She has also developed and implemented data quality checks and metrics. Anushruti has a proven track record of success in delivering high-quality data products on time. She has a strong background in data manipulation, data preprocessing and AWS technologies. In addition to her technical skills, Anushruti is also a highly motivated and results-oriented individual. She is a team player who is always willing to go the extra mile. I have no doubt that Anushruti would be an asset to your company. She is a talented, has a strong work ethic and a positive attitude. I would highly recommend her to any organization.

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Credentials

  • Product 360 10.0, Certified Professional
    Informatica
    Jul, 2021
    - Oct, 2024
  • Programming for Everybody (Getting Started with Python)
    Coursera
    Dec, 2020
    - Oct, 2024

Experience

    • United States
    • Research Services
    • 1 - 100 Employee
    • Research Assistant
      • Aug 2023 - Present

      Developing and Optimizing HPC graph algorithms that derive insights from large realistic social contact networks of certain regions of the USA using Python and GraphIt. Developing and Optimizing HPC graph algorithms that derive insights from large realistic social contact networks of certain regions of the USA using Python and GraphIt.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Graduate Student
      • Aug 2022 - Present

      Publicity Coordinator for Grad Society of Women Engineers, Member of the social committee, academic committee, International Student Welfare Committee of Graduate Engineering Student Council, Graduate Teaching Assistant for Ordinary Differential Equations Publicity Coordinator for Grad Society of Women Engineers, Member of the social committee, academic committee, International Student Welfare Committee of Graduate Engineering Student Council, Graduate Teaching Assistant for Ordinary Differential Equations

    • United States
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Big Data Engineer
      • May 2023 - Aug 2023

      ◦ Designed and developed end-to-end data pipelines using AWS and Hadoop services such as Glue Catalog, Glue ETL, Lambda, S3, Athena, Spark, Hive for data ingestion, data processing, data loading, and orchestration for analytics and dashboards. ◦ Developed automated data pipelines using Python to perform ETL operations which processes 10TB data across various source systems daily and moves it in a centralized data lake, performing file format conversions and schema transformations. ◦ Developed S3/Glue catalog alerting process using Python and AWS SDK framework to send alerts for delay/missing data from S3 prefixes and Catalog tables for partitioned, non-partitioned data and lookback scenario to know historic data discrepancy. Show less

    • United States
    • Software Development
    • 700 & Above Employee
    • Software Engineer
      • Nov 2020 - Aug 2022

      ◦ Designed and developed efficient data pipelines (ETL) using Java, Python and Informatica MDM and Intelligent Cloud services to extract data from different sources, transform and deploy data quality checks to ensure high quality of data and move it to centralized data warehouses (Relational Databases or Cloud Storages) for 100+ clients◦ Implemented Java UserExits for customization of ETL logic using Service Integration Framework and SQL query reports for analytics depending on customer’s use case for 25+ clients.◦ Collaborated with 100+ partners and stakeholders to design data models and build data warehouses using Oracle, Microsoft SQL Server(SSIS), Amazon RDS and AWS Redshift.◦ Troubleshooted and performed root cause analysis for memory related issues by analysing heap dumps using memory analyser tool(MAT) to fix system crashes, Performance issues using thread dumps to reduce execution time of user exists by 40% , Network issues by collecting TCP Dumps and troubleshooting using wireshark, SQl query optimization using performance reports to decrease query run time by 25%. Show less

    • Associate Software Engineer
      • Jul 2018 - Nov 2020

    • Intern
      • Jan 2018 - Jun 2018

Education

  • University of Virginia
    Master of Science - MS, Computer Science
    2022 - 2023
  • S D M College of Engg. & Technology, DHARWAD
    2014 - 2018

Community

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