Ajit Singh

Project 1: Contributed to developing a unified healthcare communication platform. Analyzed, designed, and built modern data solutions using Azure Data Services. Developed an ETL solution in Azure that streamlined data ingestion from multiple sources, increasing data availability by 50%. Developed and analyzed complex SQL queries and SQL stored procedures for extracting business insights, increasing decision-making efficiency by 30%. Refactored and optimized existing stored procedures, improving data extraction speed by 25%. Created SQL scripts for query automation, increasing the volume and accuracy of queries run by 64%. Managed Azure SQL Database, improving uptime by 95%. Project 2: Designed secure and scalable data solutions on Azure, facilitating the ingest, storage, and analysis of over 2 billion transactions monthly. Designed and implemented Azure Data Factory pipelines to automate data movement, cleansed and transformed over 2TB of data daily. Pioneered use of Azure Databricks for complex data transformation, accelerating data processing times by over 50%. Adopted Azure Cosmos DB for global data distribution, enhancing database response times by 30%. Optimized Azure Cosmos DB usage, saving the company $200K annually. Integrated Azure Synapse Analytics for real-time data analysis.