Eswari Koganti

Certified Microsoft Azure Fabric Data Engineer | Certified Kubernetes Administrator | AWS Certified Solutions Architect - Associate | Ex-Infosian | AWS | Azure | Bigdata | DevOps | Cloud

Role
Senior Data Engineer - Gen Ai at Gilead Sciences
Location
Dayton, OH, US
LinkedIn followers
500 followers

About Eswari Koganti

Experienced Data Engineer and Big Data Engineer with 8 years in designing, building, and…

Experience

  1. Senior Data Engineer - Gen Ai

    Gilead Sciences

    Jun 2023 — Present · CA, US

    Overhauled a cloud-based data warehouse, enhancing security protocols and performance by 40%; implemented automated data validation, increasing data accuracy by 50% and improving access to critical data sources by 60%; Designed and implemented AI-driven data pipelines that automatically identify and correct data anomalies, resulting in a 30% increase in data quality and consistency. Automated data integration workflows using JavaScript and Spring Boot, resulting in a 50% reduction in manual data processing tasks and a 20% decrease in data latency. Cut data migration costs by 50% across various cloud providers and initiated reliable data pipelines to ensure precise data availability for BI and analytics teams. Managed IAM roles and permissions to secure AWS resources, reducing unauthorized access incidents by 60%. Optimized and tuned data integration workflows for enhanced performance and scalability, achieving a 35% reduction in data processing time. Developed interactive data visualizations using Power BI, Python (Matplotlib, Seaborn) and Tableau to present complex statistical analyses to stakeholders, improving decision-making processes by providing clear insights into data trends. Collaborated with the Data Architecture team to ensure a consistent data model, optimizing data processing workflows and reducing data-related errors by 35%. Optimized Linux kernel and network layer performance, eliminating 95% of recurring storage bottlenecks and improving overall system reliability. Applied object-oriented design principles to develop modular and reusable code for data processing workflows, enhancing code maintainability and reducing development time by 25%. Implemented security measures, including NFSv4 ACLs, ensuring 100% compliance with internal and external security standards.

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Eswari Koganti — Senior Data Engineer - Gen Ai at Gilead Sciences in Dayton, OH, US | Unifers