Sonu KARTHIK

Software Engineer

Amazon•  September 2018 - March 2022

Engineered end-to-end solutions that leverage the power of Amazon Redshift, Amazon EMR (Hive, Spark), and S3, driving agile decision-making through actionable data. Expertly developed horizontally scalable data analytics solutions that enhance performance and enable seamless expansion. Crafted captivating visualizations on Tableau, seamlessly integrated with Amazon Redshift, empowering stakeholders with intuitive insights. Collaborated closely with Product Managers and cross-functional stakeholders to conceptualize and execute robust Data Analytics strategies, tailoring solutions to meet diverse business objectives. Possess domain expertise spanning Retail Marketing, Video Streaming, Payments, and Transaction Fraud Management, fueling precise and strategic data-driven actions. Engineered end-to-end solutions that leverage the power of Amazon Redshift, Amazon EMR (Hive, Spark), and S3, driving agile decision-making through actionable data. Expertly developed horizontally scalable data analytics solutions that enhance performance and enable seamless expansion. Crafted captivating visualizations on Tableau, seamlessly integrated with Amazon Redshift, empowering stakeholders with intuitive insights. Collaborated closely with Product Managers and cross-functional stakeholders to conceptualize and execute robust Data Analytics strategies, tailoring solutions to meet diverse business objectives. Possess domain expertise spanning Retail Marketing, Video Streaming, Payments, and Transaction Fraud Management, fueling precise and strategic data-driven actions. Skills: Hive · Data Engineering · Extract, Transform, Load (ETL) · Hadoop · Amazon Web Services (AWS) · AWS Lambda · Azure Data Factory · Azure Data Lake · Azure Databricks · Azure Cosmos DB · Google Cloud Platform (GCP) · DevOps · AWS Glue · Amazon Redshift · Apache Spark · Apache Kafka · Analytical Skills · Microsoft Power BI · Python (Programming Language) · Tableau · R (Programming Language) · MySQL · Business Analysis

Oklahoma State University

Data Science, MS•  August 2022 - Present

Activities and societies: Attended CyberSecurity Table TopActivities and societies: Attended CyberSecurity Table Top Coursework: Programing For Data Science, Big Data Advanced Analytics Technologies, Descriptive Analytics and Visualization, Statistics for Data Science, Data Base and Data Warehousing. Skills: Presentations · Data Analytics · Dashboard · Microsoft Office · Data Infrastructure · Business Analytics · Analytical Skills · Data Science · Cascading Style Sheets (CSS) · SQL · Machine Learning · Business Intelligence (BI)