Principal Software Engineer with 11+ years of experience designing, architecting, and scaling enterprise systems across cloud modernization, pricing platforms, clinical analytics, and distributed data orchestration.
I specialize in:
- Cloud-native architecture (Azure-first)
- High-scale distributed systems
- Java & Spring Boot engineering
- Secure data flows for regulated workloads (PHI/PII)
- CI/CD automation & platform governance
- Performance optimization & platform modernization
I turn complex business requirements into secure, scalable, maintainable platforms.
Cloud & Distributed Systems
- Azure AKS · Key Vault · Data Factory
- Azure Synapse · Azure Databricks · Delta Lake
- Blob Storage · Kubernetes
Backend & Architecture
- Java · Spring Boot · Spring Security
- API Design · Microservices · AuthN/AuthZ (JWT, OAuth)
Data & Analytics
- Spark ETL · Netezza · PostgreSQL
- Data federation, lineage, and performance tuning
DevOps / CI-CD
- GitHub Actions · Terraform · Observability & Logging Architecture
- ⚙️ Modernized a large-scale pricing platform — 30% faster CI/CD and improved release reliability
- 🔐 Implemented secure PHI/PII orchestration with field-level governance controls
- 🚀 Built an approval orchestration engine scaling to 20× throughput
- 📊 Migrated analytics workloads to Azure — ~40% performance improvement
- 🏅 Recognized under Technology Leadership Career Path
| Year(s) | Focus / Role |
|---|---|
| 2014 | Began professional career in application development (Java, SQL) |
| 2017 | Big Data & Distributed Systems — MapR, ETL, high-volume processing |
| 2018–2022 | Cloud analytics & clinical trials modernization (Azure Synapse, Databricks) |
| 2022–Present | Enterprise architecture, security governance, and platform modernization; Principal Software Engineer role leading pricing & orchestration platforms |
Pricing Platform Modernization
- Unified microservice infrastructure, centralized security modules, AKS deployment, GitHub Actions-based CI/CD, Key Vault integration.
Clinical Trials Analytics
- Migrated analytics to Azure Synapse & Databricks, implemented data lineage and governance for PHI.
MapR Optimization
- Rewrote MapReduce flows and utilities to achieve 4× performance improvement for retention jobs.
- LinkedIn: https://linkedin.com/in/ramkumarethiraj
- GitHub: https://github.com/ramethiraj
Architecture is not what we build — it is what we enable.