● Owned a Java-based batch processing pipeline built on Azure Storage Queues responsible for ingesting, validating, and processing healthcare data. ● Developed flexible validation rule configuration via database, enhancing processing speed and maintainability. ● Migrated proprietary data processing workloads to Azure Kubernetes Service (AKS), improving scalability and cost efficiency. ● Improved the processing time by a factor of 3 by removing unnecessary database loads. ● Built and operated an analytics pipeline using Azure Data Factory orchestrating Jupyter notebooks on Databricks. This pipeline reduced the processing time by a factor of 8–20 and added support for parallel processing. ● Improved CI pipelines and participated in architectural discussions around scalability, reliability, and cost tradeoffs.

● Built and maintained ML-powered information extraction and RPA solutions using WorkFusion and Java. ● Developed and optimized pipelines for healthcare data processing using SSIS, SQL Server, Azure Data Factory and Databricks. ● Enhanced existing Java Spring applications; led backend refactoring and CI improvements. ● Migrated legacy Java services to AWS Lambda.

● Developed and maintained enterprise web applications using Adobe Experience Manager (AEM) and Java, acting as a solution architect and key developer for Digital Asset Management (DAM) solutions. ● Conducted interviews and mentored junior developers.

● Built Android apps for data-over-voice transmission, games, and image processing.