Shivkesh Pandey

Designed and implemented ETL pipelines using Azure Data Factory, stream lining data ingestion, transformation, and integration across systems. Developed and optimized Azure Data Lake solutions for both structured and unstructured data, ensuring scalable storage and fast querying. Automated end‑to‑end workflows with Azure Logic Apps and SQL, significantly reducing manual processes and enhancing operational efficiency. Collaborated with teams to design and deploy interactive Power BI dashboards, enabling real‑time decision‑making insights. Optimized data systems for performance, scalability, and reliability, ensuring efficient processing and enabling data‑driven decisions across business functions.

Developed ETL pipelines that improved data accuracy by 15%, leading to more reliable business insights. Implemented real-time data ingestion system, reducing data processing time by 30%. Designed and maintained a scalable data warehouse, enabling quick access to critical business data for decision-making. Collaborated with the backend team to optimize API calls, leading to a 20% improvement in server response time and enhanced overall application performance. Implemented a data caching strategy, resulting in a 50% decrease in database queries and overall server load.