Angelo Fajardo
Principal Software Engineer .NET Lead
Dallas, TX https://www.linkedin.com/in/angelo-fajardo-761181b3/ Principal .NET / Cloud Engineer with 11+ years building large-scale, event-driven platforms in automotive, SaaS, and enterprise environments. Expert in distributed systems, connected vehicle & IoT telemetry pipelines, high-throughput APIs, performance tuning, secure architecture, and CI/CD automation. Passionate about applying AI and predictive analytics to elevate reliability, reduce time-to-market, and harden platforms against security threats. TECH SKILLS
Languages & Frameworks: C#, .NET (Core, MVC, Web API, gRPC, WCF), C++, Python, VB.NET, Django
Front-End & Mobile: Blazor, Razor, Angular, React, JavaScript, TypeScript, Node.js, Xamarin, .NET MAUI
Cloud & Infra: Azure (Functions, AKS, Event Hubs, Service Bus, API Management, App Gateway, Key Vault), AWS (Lambda, SNS, DynamoDB, CloudWatch, ELB), Terraform, Ansible
Data & Storage: SQL Server, PostgreSQL, MySQL, Oracle, MongoDB, DynamoDB, Cosmos DB, EF, ADO.NET
Streaming & Messaging: Kafka / Confluent, Azure Service Bus, SignalR
APIs & Integration: REST, GraphQL, SOAP, gRPC, API Gateway patterns
Testing & Quality: xUnit, NUnit, MSTest, Jest, Cypress, Moq, JMeter, SonarCloud, A/B Testing
DevOps & Tooling: GitHub, Bitbucket, Azure Repos, Jenkins, TeamCity, Azure DevOps, Application Insights, Serilog
Analytics & Data Eng: Databricks (PySpark/Scala), Power BI
Security & Identity: OAuth2/OIDC, PingFederate, Azure AD (Entra ID), Key Vault, RBAC/ABAC
CRM / ERP: Microsoft Dynamics 365
CORE STRENGTHS
Domain-Driven Design (DDD) Event-Driven & Microservices Architectures Connected Vehicle / Telemetry High-Scale API & Platform Engineering Performance & Reliability Optimization Secure Architecture
(RBAC/ABAC, Secrets Mgmt) Cloud (Azure & AWS) Observability & SRE Data Pipelines & ETL Front- End Modernization AI/ML Integration DevOps & Infrastructure-as-Code Technical Leadership & Mentorship
PROFESSIONAL EXPERIENCE
Principal / Senior Software Engineer (Technical Lead) Rivian Automotive, Remote 02/2020 - 05/2025
Role summary: Led architecture, telemetry, and platform modernization initiatives supporting connected vehicle, charging, and predictive capabilities across a high-growth EV ecosystem.
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Drove adoption of domain-driven and event-driven architecture (.NET, Azure, Service Bus, Kafka) reducing cross-service coupling and cutting average feature lead time by 35%.
Engineered high-throughput telemetry ingestion (C#, gRPC, Azure Event Hubs) sustaining 100K+ concurrent vehicle event streams with sub 2s processing latency for diagnostics, OTA staging, and energy optimization analytics.
Optimized SQL Server and Cosmos DB access patterns (index strategies, partitioning, caching), reducing P95 query latency 32% and accelerating internal operational dashboards.
Modernized legacy AngularJS consoles to Angular 14 with RxJS caching and Kendo UI, lowering initial load time 45% and boosting productivity for 250+ internal fleet and plant users.
Implemented real-time notification framework (SignalR + Observer pattern) surfacing battery health anomalies, line alerts, and OTA deployment states—cut detection-to-action time 40%.
Integrated AI-driven anomaly detection (Azure Cognitive + custom ML) to flag drivetrain and battery deviations, reducing unplanned service incidents 18% and projected warranty cost exposure by $480K annually.
Hardened platform security (Azure Key Vault, PingFederate/Entra ID, RBAC/ABAC policies), decreasing unauthorized access attempts 40% and improving audit readiness.
Deployed layered API gateway pattern (Azure API Management + App Gateway) with fine-grained rate limiting for telemetry and inference endpoints—achieved resilient operation under 10K+ concurrent API clients.
Automated infrastructure & delivery (Terraform, Azure DevOps, Jenkins) cutting build times 25%, deployment incidents 20%, and enabling safe blue/green releases for critical microservices.
Established comprehensive observability (Application Insights, structured Serilog logging, distributed tracing) reducing mean time to detect (MTTD) issues 55% and mean time to recovery (MTTR) 50%.
Conducted performance/load testing (JMeter) validating horizontal scaling; improved peak-load API response times 20% under 10K concurrent simulated sessions.
Championed engineering excellence: enforced SonarCloud quality gates, sustained 80%+ unit/integration coverage, mentored 8 engineers—cut production defect rate 40%. Senior Software Engineer
ConnectWise, Tampa, FL 09/2018 - 02/2020
Role summary: Modernized MSP SaaS platform components—microservices, identity, analytics, and UI—to improve deployment velocity, scalability, and operational insight.
Re-architected monolithic enrollment & provisioning into microservices (.NET Core, AKS) increasing deployment frequency from 4/month to 12/month (3x) while reducing rollback events 60%.
Implemented micro-frontend architecture (React, Next.js) with independent CI/CD pipelines, trimming mean UI release cycle time 35%.
Built identity migration service (C#, GraphQL, Entra ID, scheduled jobs) consolidating user stores; improved authentication success rate 15% and cut related support tickets 25%.
Applied CQRS pattern with Azure Service Bus to decouple read/write operations for high-volume asset & ticket data, lowering average read latency 38%.
Modernized Blazor Server + Telerik dashboards achieving 35% faster component render and WCAG AA accessibility compliance improvements.
Enhanced SOAP-based financial/billing processing (XML serialization, batching, parallelization) increasing transaction throughput 30%.
Established structured logging & tracing (Serilog + Application Insights), reducing average incident triage time 50%.
Authored Databricks (PySpark/Scala) ETL pipelines reducing analytics report generation from 3 hours to 20 minutes ( 89% faster).
Resolved severe SQL deadlock and blocking issues (SQLDiag, Profiler), cutting P95 query latency from 750ms to 310ms (59% improvement) during peak traffic. Senior Software Developer
Accenture, Houston, TX 09/2014 - 08/2018
Role Summary: Delivered cloud, streaming, and modernization solutions for enterprise and financial services clients, focusing on latency, scalability, and data availability.
Transformed a client credit valuation platform from monolith to event-driven microservices (ASP.NET MVC, Angular, Kafka, AWS Lambda, SNS), reducing transaction latency 50% and enabling elastic scaling.
Developed internal automation toolkit (C#, WPF, EF, T-SQL) improving developer throughput 15% by accelerating environment setup and data preparation.
Implemented cloud-native monitoring (CloudWatch + custom PostgreSQL/DynamoDB metrics) improving SLA adherence and cutting high-severity detection time 45%.
Authored IAM and Terraform infrastructure policies (incl. EKS IRSA) enforcing least-privilege access across microservices and event workflows.
Integrated Confluent Kafka connectors & streaming apps (Kafka Streams, ksqlDB/Flink) replacing batch transfers—reducing data availability lag from 4 hours to ~5 minutes (>98% reduction).
Refactored legacy services to standardized Kafka schemas/contracts, lowering integration defects 35% and accelerating onboarding for new consuming services. EDUCATION
Bachelor of Science (B.S.), Computer Science
Florida State University