Siddharth Desai

• Built deployment automation scripts in PowerShell that reduced average deployment time by 65% (from 4 hours to 1.5 hours), implementing automated health checks, rollback procedures, and Splunk monitoring integration across production environments

• Designed and deployed company-wide cache management solution using JavaScript versioning integrated with Azure DevOps pipelines, eliminating 100% of stale content issues across 15+ web applications and reducing user support tickets by 95%

• Diagnosed production web service integration failures by analyzing C# application code, SOAP XML payloads, and SQL database execution logs across distributed .NET systems, identifying data synchronization timing dependencies between various services that caused 2% error rate in automated workflows while manual reprocessing achieved 100% success after 5-minute delay

• Reorganized entire source code repository structure, creating clear folder hierarchies and naming conventions that reduced confusion and increased deployment efficiency by 40%

• Developed business rules engine for insurance portal using C# that determines how claims are processed based on policy types, coverage amounts, and claim categories

• Enhanced CI/CD pipelines by creating and modifying YAML configuration files in Azure DevOps, improving automated testing stages and deployment process efficiency

• Set up complete test environment from ground up using infrastructure as code principles, provisioning all components, databases, and application integrations needed for comprehensive testing before production releases

• Partnered with QA, Infrastructure, and DevOps teams to triage build pipeline issues, validate environment configurations, and coordinate multi-application release deployments across distributed .NET systems in Azure DevOps

• Managed production deployments for 15+ web applications using Azure DevOps release pipelines, achieving 98% deployment success rate across 150+ releases while maintaining comprehensive technical documentation and incident tracking in Confluence and ServiceNow

• Redesigned Client Care Desktop by converting legacy desktop application into web service architecture using microservices pattern, improving customer service request processing time by 40%

• Maintained 4Sight application backend handling 10,000+ daily transactions, resolving 200+ backlog tickets including bug fixes, performance improvements, and new feature development while documenting all changes in Confluence

• Integrated backend services with SQL Server databases for data persistence, implementing caching strategies for frequently accessed customer data and optimized stored procedures to improve report generation speed by 60%

• Developed batch processing services for data ingestion and transformation workflows, processing insurance policy data from multiple source systems using Splunk for log analysis and tracking progress in ServiceNow

• Collaborated with QA and Database teams to optimize data ingestion workflows, refine stored procedures, and streamline nightly batch job executions—reducing report latency and improving transaction throughput across backend systems

• Built backend solutions using .NET Core framework with C# based on business requirements for insurance policy administration and claims processing systems, documenting technical specifications in Confluence for team reference

• Optimized SQL Server stored procedures and database queries using execution plan analysis, reducing average response time from 8 seconds to 2 seconds

• Refactored legacy .NET Framework code to .NET Core, improving code maintainability, removing deprecated dependencies, and reducing technical debt by 40%

• Implemented real-time monitoring dashboards using Splunk, collecting system metrics and performance data to proactively identify bottlenecks before they impacted users

• Developed automation scripts for data processing tasks including policy data validation and report generation, saving 15 hours per week of manual work

• Coordinated with QA, Database Admin, and Release Management teams to migrate legacy .NET Framework applications to .NET Core pipelines, streamline deployment scripts, and ensure compatibility across multiple production environments