Laxmi Sruthi Susarla

Data Engineer

Infosys Limited•  August 2021 - November 2022•  Hyderabad, India

Modified big data workflows by leveraging Hadoop, Spark, and Kafka, achieving a 25% reduction in processing times and boosting data throughput for large-scale analytics projects across multiple clients. Designed and implemented efficient ETL processes using Sqoop and Hive, motorizing data migration from legacy systems, which resulted in a 30% reduction in manual intervention and revised data accessibility. Streamlined interactive dashboards in Power BI and Tableau, translating complex data insights into actionable business visualizations, contributing to a 15% improvement in stakeholder decision-making speed. Computerized data quality checks using Python, overhauling data accuracy by 18% and streamlining reporting for executive leadership, ensuring data consistency across all business units.

Data Engineer Intern

Infosys Limited•  May 2020 - July 2021•  Hyderabad, India

Streamlined in modifying data processing pipelines using Hadoop and Spark, contributing to a 23% improvement in data processing efficiency, supporting real-time analytics for client applications. Enhanced SQL queries to extract, transform, and load (ETL) data, automating data integration tasks, which saved 10+ hours per week in manual effort for the data engineering team. Built data visualizations in Power BI, Refining decision-making speed by 14%, and collaborated on data migration projects using Sqoop and Hive, increasing data accessibility and supporting faster business initiative implementation.