Venkata Pereddy

• Architected and delivered 100+ APIs in .NET 9 supporting multi-source data ingestion, processing, and analytics for vendor master data quality.
• Designed a shared NuGet package (Smartvm.Common.Components) for reusable components, versioned via Azure Artifacts to accelerate delivery across services.
• Built high-performance APIs with Swagger/OpenAPI, gRPC for internal calls, and caching (Memcached, .NET Backplane); improved response times and reduced database load.
• Deployed to Azure Kubernetes Service with Helm, containerized builds, Key Vault–backed secrets, and horizontal scaling for demand spikes.
• Implemented OpenTelemetry with Application Insights and Grafana dashboards for proactive monitoring and faster troubleshooting.
• Integrated RabbitMQ and Azure Service Bus for event-driven messaging and reliable asynchronous processing.

SmartVM Subscriptions Service — API Quotas & Access Control

• Designed and implemented a dedicated API management microservice controlling access, quotas, and product-based API grouping.
• Managed per-client API quotas, restrictions, and expiration policies; enforced via middleware before request execution.
• Built background services for quota monitoring and automated email alerts for key expiration and usage thresholds.
• Exposed as a Kubernetes ClusterIP service for internal consumption by API platform services.

SmartVM Data Processing & Ingestion Pipelines

• Developed .NET 9 Worker Services for ingesting data from SQL, REST APIs, and web scraping pipelines using Playwright.
• Scheduled distributed ETL jobs via Hangfire with retries; deployed via Kubernetes with min/max replicas and readiness/liveness probes.
• Created transformations to centralize vendor data into SQL Server for downstream analytics; integrated internal SSIS pipelines for legacy migrations.

SQL / Azure Blob / Snowflake Integration

• Implemented .NET-based data pipeline to stage SQL data in Azure Blob (Parquet/CSV) and load into Snowflake.
• Automated COPY INTO and Snowpipe ingestion; used merge/upsert logic for incremental loads and late-arriving data.
• Reduced transfer time with partitioned extracts, compression, and multi-threaded Blob uploads.

Snowflake Processing — Vendor Matching & Golden Records

• Developed Snowflake stored procedures, Java UDFs, and JavaScript transformations based on analyst-defined rules.
• Implemented matching and confidence scoring logic; generated golden vendor records to improve master data quality.

Snowflake / SQL Reverse Data Flow

• Implemented bulk unload from Snowflake to Blob, then loaded into SQL Server via BULK INSERT/PolyBase for reporting needs.

SmartVM Web Application (Full-Stack)

• Developed a .NET 9 MVC + AngularJS application for managing and reviewing vendor data runs.
• Enabled user uploads, real-time data quality metrics, and integration with backend APIs for enrichment.
• Supported exporting processed data to files or downstream internal products.

• Designed and developed ASP.NET MVC applications with C#, SQL Server, and Entity Framework.
• Enhanced UI interactivity using JavaScript and AngularJS; optimized performance with SQL tuning and LINQ.
• Implemented unit testing with xUnit and Moq; used TFS for source control in Agile/Scrum teams.

• Migrated legacy web applications to ASP.NET MVC 5; implemented ADO.NET/Entity Framework for data access.
• Developed and consumed SOAP services; delivered interactive front-ends with HTML, CSS, and JavaScript.