Enterprise Solution & Cloud Architecture

Cloud-native modernization: Java / Spring microservices, event-driven & API-first architecture, platform engineering, zero‑trust resilience, SRE observability & cost optimization across Azure and Kubernetes.

Highlights Full Resume
Professional headshot

About

Information Technology professional with ~19 years shaping enterprise and cloud-native solutions across banking, lending, telecom, logistics, retail, e‑commerce, and education. Strengths include domain-driven decomposition, microservices & event-driven architecture, modernization of legacy platforms, secure API integration, and establishing high-signal observability & resilience practices.

Current focus: platform engineering enablement, contract-first APIs, event-driven patterns, zero‑trust hardening, SRE metrics (SLIs/SLOs) and sustainable cost optimization. Passionate about translating business capability maps into evolutionary architecture roadmaps.

Current Initiatives

  • Platform engineering patterns (internal dev portal, paved paths)
  • Contract-first API lifecycle & semantic versioning governance
  • Event-driven architecture adoption (async messaging & outbox)
  • Zero‑trust posture (defense in depth, policy as code)
  • FinOps: cost telemetry, efficiency benchmarks & rightsizing

Engineering Practices

  • Domain-driven decomposition & capability mapping
  • Resilience patterns (circuit breakers, bulkheads, idempotency)
  • Observability by design (structured logs, traces, SLO dashboards)
  • Quality gates (mutation, contract, static analysis, security scans)
  • Continuous improvement loops (blameless postmortems, ADRs)

Professional Highlights

A quick snapshot of core competencies, guiding architecture principles, modernization playbook, impact metrics, and current technology focus aligned with market trends.

Core Competencies

  • Enterprise & Cloud Architecture (Azure, PCF, AKS)
  • Microservices & Domain-Driven Design
  • API Governance & Contract Testing (OpenAPI, Spring Cloud Contract)
  • Event & Message-driven Integration (Kafka, Azure Service Bus)
  • Observability & Resilience (Dynatrace, Splunk, Hystrix patterns)
  • Secure SDLC & Quality Gates (SonarQube, PIT, Fortify)

Architecture Principles

  • API First & Contract Evolution
  • Loose Coupling, High Cohesion
  • Defense in Depth & Shift-Left Quality
  • Observable by Design (metrics, traces, logs)
  • Event-driven for Decoupling & Scale
  • Automate Everything (CI/CD, infra)

Modernization Playbook

  1. Assess & Baseline (architecture, quality, cost)
  2. Domain Decomposition & Strangler Pattern
  3. Refactor & Externalize Configuration
  4. Containerize & Orchestrate (AKS / PCF)
  5. Implement Observability & SLOs
  6. Automate Pipelines & Policy Gates
  7. Continuously Optimize (cost, performance)

Impact Metrics

  • Deployment lead time ↓ ~60% via CI/CD standardization
  • API latency ↓ ~35% after async messaging & tuning
  • Critical incident MTTR ↓ ~40% with enhanced tracing & dashboards
  • Defect leakage ↓ ~30% through contract & mutation testing
  • Gateway consolidation cut operational cost footprint

Current Focus & Trends

  • Adopt: Spring Boot 3.x, Java 21 readiness, Kong API Gateway, Structured Logging, SLO-centric dashboards
  • Accelerate: Platform Engineering (internal dev portals), Policy as Code, Cost Optimization (FinOps)
  • Explore: AI-assisted code quality, Event-driven analytics, Zero-Trust patterns, Sustainability metrics

Resume & Details

Full chronology, certifications, and project narratives are available in the dedicated resume page.

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Contact

Feel free to reach out for collaborations or just a friendly hello 👋

Prefer email directly? info@d-s.co.in