S

Sri Satyanarayana Reddy Karri

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Jersey City, New Jersey, United States

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Résumé

Jobs verified_user 0% verified
  • Adroit Innovative Solutions
    Data Engineer
    Adroit Innovative Solutions
    Jan 2023 - Nov 2024 (1 year 11 months)
    Designed and maintained scalable ETL pipelines using AWS Glue, Lambda, and Step Functions, enabling automated ingestion from multiple data sources. Monitored and optimized Amazon Redshift clusters; identified and refactored inefficient SQL queries, reducing CPU utilization by 30% and improving query latency by 40%. Built CloudWatch-based data quality alerts to detect and resolve incomplete or delayed data loads in real time. Collaborated with analysts and business stakeholders to ensure accuracy and accessibility of core analytics datasets. Supported migration of data pipelines from on-prem to Redshift with zero downtime during deployment. Leveraged Spark on AWS EMR for distributed data processing and performance optimization. Familiar with
  • V
    Data Analyst
    Versatile Software's - Bengaluru, India
    Jun 2019 - Jul 2021 (2 years 2 months)
    Automated Tableau dashboards, improving analysis efficiency and reducing manual tasks. Built secure HR dashboards with row-level security and connected multiple SQL sources. Developed Python-based data analysis integrated with Tableau visualizations. Supported migration of dashboards from development to production with minimal downtime.
Education verified_user 0% verified
  • S
    Master of Science, Business Analytics
    St francis college
    Sep 2025 - Current (10 months)
  • A
    AWS Certified Solutions Architect- Associate
    Mar 2023 - Current (3 years 4 months)
  • S
    Master of Science, Data Science
    Saint Peter's University
    Sep 2021 - Nov 2022 (1 year 3 months)
  • SRM University
    Bachelor of Science, Electrical, Electronics And Communications Engineering
    SRM University
    Jul 2016 - May 2020 (3 years 11 months)
Projects (professional or personal) verified_user 0% verified
  • H
    HEALTH DATA BREACHES
    Apr 2022 - Jun 2022 (3 months)
    EHR systems have replaced paper-based systems in the healthcare business. Created a dashboard in Tableau showing the number of breach reports submitted over the years. Displayed individuals affected by health data breaches in selected states. Highlighted the common types of health data breaches and how many people are affected.
  • H
    HEART FAILURE PREDICTION
    Apr 2022 - Jun 2022 (3 months)
    Conducted a predictive analytics project as part of a course. Built a Random Forest classifier to predict heart disease risk using patient health data. Improved model accuracy by 15% using feature selection techniques. Tools: Python, Scikit-learn, Pandas, Matplotlib.
  • T
    TITANIC - MACHINE LEARNING FROM DISASTER
    Apr 2022 - Jun 2022 (3 months)
    Conducted a machine learning project on a Titanic shipwreck dataset. Predicted the passengers who survived the shipwreck using the Logistic regression technique.