# Jagadesh Ata - Full Context

## Home
# Jagadesh Ata — Senior Go Backend Engineer

I build healthcare interoperability platforms in Go: FHIR R4 APIs, HL7 v2 to FHIR integration services, and Kubernetes-native systems that stay predictable in production. My focus is correctness, traceability, and operational clarity for real clinical data.

> **Open to roles**: Senior Go backend, healthcare interoperability, Kubernetes Go development (remote only, US-based in St. Louis).  
> **Contact**: [jagadesh.acha01@gmail.com](mailto:jagadesh.acha01@gmail.com) | [LinkedIn](https://www.linkedin.com/in/egntuywbw001/)

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## Role Fit

- **Senior Go backend engineering** for high-throughput APIs and data pipelines.
- **Healthcare interoperability** across FHIR R4, HL7 v2, and clinical data exchange workflows.
- **Kubernetes Go development** (CRDs, controllers, operators) for platform reliability and automation.

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## Enterprise-Ready Capabilities

| Capability | What it means in production |
| --- | --- |
| Interoperability correctness | Versioned APIs, strict validation against profiles/IGs, and consistent data lineage. |
| Reliability and observability | End-to-end tracing, metrics, and logs that can explain any clinical event. |
| Security for PHI | OAuth2/OIDC, RBAC, NetworkPolicies, and least-privilege access. |
| Platform delivery | Cloud-agnostic Kubernetes deployments with GitOps and predictable releases. |

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## Technical Depth

### FHIR R4 and HL7 v2 Integration

- Search, pagination, Bundles/transactions, and conditional create/update behavior aligned to real-world FHIR patterns.
- HL7 v2 translation with mapping, normalization, enrichment, and audit-ready lineage.
- Idempotent ingestion and replayability with correlation IDs for end-to-end traceability.

### Go API Engineering

- REST and gRPC services with OpenAPI specs, contract tests, and clear error behavior.
- Concurrency patterns with pprof-driven tuning and practical performance guardrails.
- API versioning and schema evolution designed for long-lived healthcare integrations.

### Kubernetes-Native Go Development

- CRDs, controllers, and operators using controller-runtime and operator-sdk.
- Golden-path automation to remove toil and enforce production standards.
- GitOps pipelines for repeatable delivery across AWS, Azure, and GCP.

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## Selected Outcomes

- Delivered FHIR R4 APIs and backend workflows for secure clinical data exchange.
- Built HL7 v2 to FHIR services with validation, enrichment, and replay-safe pipelines.
- Implemented traceability and auditability with correlation IDs and structured logs.
- Tuned Go services for predictable latency and stable throughput under load.
- Deployed and operated services across EKS, GKE, AKS, and OpenShift.

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## Experience Snapshot

- **Anthem, Inc.** — Senior Go Software Engineer (Healthcare Interoperability)
- **Farmers Insurance** — Senior Software Engineer (Cloud-Native Applications)
- **Bayer** — Software Engineer (CI/CD and Developer Tooling)

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## Articles

- [Go and Kubernetes: Building Cloud-Native Platform Tools](/article-6)
- [Building Kubernetes Operators in Go](/article-4)
- [Kubernetes Distribution Comparison Guide](/article-1)
- [View All Articles](/articles)

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## Contact

If you are hiring for Go backend, healthcare interoperability, or Kubernetes Go development roles, I would love to connect.

- Email: [jagadesh.acha01@gmail.com](mailto:jagadesh.acha01@gmail.com)
- LinkedIn: [linkedin.com/in/egntuywbw001](https://www.linkedin.com/in/egntuywbw001/)

## About
# About Me

## Who I Am

I am Jagadesh Ata, a Senior Go (Golang) backend engineer focused on healthcare interoperability. I build FHIR R4 APIs and HL7 v2 integration services that run on Kubernetes and remain reliable under production clinical workloads.

I value systems that are boring in production: predictable behavior, strong contracts, clear traceability, and practical observability. US-based in St. Louis, open to remote roles.

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## Focus Areas

| Focus | What I deliver |
| --- | --- |
| FHIR R4 and HL7 v2 | Interoperability services that validate, normalize, and translate clinical data with audit-ready lineage. |
| Go backend engineering | REST and gRPC services with versioned APIs, contract tests, and pprof-driven tuning. |
| Kubernetes Go development | CRDs, controllers, and operators that remove toil and enforce platform standards. |
| Reliability and observability | OpenTelemetry, Prometheus/Grafana, and structured logs for end-to-end traceability. |

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## Technical Depth

### Interoperability Engineering

- FHIR R4 REST APIs with search, pagination, Bundles/transactions, and conditional create/update.
- HL7 v2 to FHIR translation with validation, mapping, normalization, and enrichment.
- Idempotent processing and replayability using correlation IDs and structured audit trails.
- Validation against profiles and implementation guides to prevent data drift.

### Go Services

- REST and gRPC APIs with OpenAPI specs and contract testing.
- Concurrency patterns with predictable error handling and pprof-driven tuning.
- Versioning strategies for long-lived clinical integrations.

### Kubernetes-Native Go

- Controllers and operators with controller-runtime and operator-sdk.
- GitOps workflows using Argo CD or Flux for repeatable deployments.
- Security guardrails including RBAC, NetworkPolicies, and Pod Security Standards.

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## Experience

### Anthem, Inc. — Senior Go Software Engineer (Healthcare Interoperability)
May 2021 - Present

- Built Go-based FHIR R4 REST APIs and backend workflows for secure clinical data exchange.
- Implemented HL7 v2 to FHIR translation and normalization with validation, enrichment, and idempotent processing.
- Delivered API correctness through versioning strategy, schema validation, and contract testing.
- Designed traceable pipelines with correlation IDs, replayability, and audit-ready logging.
- Implemented OpenTelemetry tracing, Prometheus/Grafana metrics, and structured logging (ELK).
- Deployed to Kubernetes across AWS, Azure, and GCP using GitOps (Argo CD and Flux).

### Farmers Insurance — Senior Software Engineer (Cloud-Native Applications)
February 2017 - April 2021

- Standardized Kubernetes delivery patterns so releases were repeatable and safe.
- Partnered with teams to containerize services and improve runtime reliability.
- Implemented monitoring, alert hygiene, and operational playbooks.
- Automated day-2 operational tasks and improved deployment consistency with Helm and CI.

### Bayer — Software Engineer (CI/CD and Developer Tooling)
March 2014 - January 2017

- Built CI/CD pipelines and release automation to reduce manual steps.
- Created tooling to make builds and deployments consistent and predictable.
- Established version control and deployment standards to improve release quality.

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## Education

- Silicon Valley University — Master's Degree, Computer Science (January 2016 - December 2016)

## Certifications

- AWS Certified Solutions Architect
- Certificate of Cloud Security Knowledge (CCSK)

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## What I Am Looking For

- Senior Go backend engineering roles
- Healthcare interoperability positions (FHIR R4, HL7 v2)
- Kubernetes Go development roles (controllers, operators, platform services)

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## Contact

- Email: [jagadesh.acha01@gmail.com](mailto:jagadesh.acha01@gmail.com)
- LinkedIn: [linkedin.com/in/egntuywbw001](https://www.linkedin.com/in/egntuywbw001/)

## Services
# Services

## How I typically engage
Every collaboration is centred on senior Go engineering paired with Kubernetes delivery. Choose the model that fits your hiring need—fractional staff engineer, project delivery partner, or long-term reliability coach.

### Go Codebase Assessment (2–3 weeks)
**When to choose this:** you're inheriting or scaling a Go service and need clear priorities before investing further.

**Deliverables:**

- Static and runtime analysis covering architecture, concurrency, testing, and deployment posture
- Profiling and benchmarking results with concrete remediation backlog
- Kubernetes deployment review, resiliency scorecard, and observability gaps
- Executive summary plus deep-dive walkthrough with your engineers

### Build & Ship Partnership (8–16 weeks)
**When to choose this:** you need senior horsepower to deliver new Go capabilities while levelling up the team.

**Deliverables:**

- Feature or platform roadmap co-authored with product and engineering leads
- Implementation of Go services, operators, or tooling with tests, docs, and CI/CD pipelines
- Golden path improvements (GitOps, release automation, runtime dashboards) that stick after launch
- Mentorship, pairing sessions, and hiring support for internal engineers

### Reliability & Coaching Retainer (quarterly)
**When to choose this:** you already ship Go services and want an experienced partner watching performance, incidents, and roadmap risks.

**Deliverables:**

- Monthly production health reviews (latency, error budgets, cost) with action items
- Architecture consults and design reviews for upcoming Go/Kubernetes projects
- Incident retrospectives with systemic fixes, not just patches
- Team enablement: workshops on debugging, observability, or controller design

## Working together
- **Transparent cadence:** weekly updates, shared notes, and dashboards so stakeholders stay aligned.
- **Code you can live with:** idiomatic Go, readable tests, and documentation that survives onboarding.
- **Partnership mindset:** success is measured by your team moving faster and more confidently, not by billable hours.

Ready to explore a fit? [Schedule a discovery call](https://calendly.com/jagadesh-acha01) or [email hello@jagadesh.dev](mailto:hello@jagadesh.dev) with the role brief or project goals.

## Contact
# Contact

## Open to Roles

I am open to Senior Go backend, healthcare interoperability, and Kubernetes Go development roles. Remote only. US-based in St. Louis, Missouri.

## Get in Touch

- Email: [jagadesh.acha01@gmail.com](mailto:jagadesh.acha01@gmail.com)
- LinkedIn: [linkedin.com/in/egntuywbw001](https://www.linkedin.com/in/egntuywbw001/)

## Article URLs
- The Ultimate Kubernetes Distribution Comparison Guide (2025 Edition): https://jagadesh.dev/article-1.html
- Building a Production-Ready Multi-Cloud Kubernetes Architecture: https://jagadesh.dev/article-2.html
- How We Cut Kubernetes Costs by 65% Without Sacrificing Reliability: https://jagadesh.dev/article-3.html
- My Kubernetes Operator Development Playbook: https://jagadesh.dev/article-4.html
- Zero to Production: Setting Up Enterprise-Grade Kubernetes in One Day: https://jagadesh.dev/article-5.html
- Go & Kubernetes: Building Cloud-Native Platform Tools: https://jagadesh.dev/article-6.html
- Building Production-Ready AI/ML Infrastructure on Kubernetes: https://jagadesh.dev/article-7.html
- From 30% to 85%: Optimizing GPU Utilization in Kubernetes: https://jagadesh.dev/article-8.html
- Running Robotics Simulation Workloads on GKE Autopilot: https://jagadesh.dev/article-9.html