About
I am a Backend Systems Architect and distributed systems engineer with 10+ years of experience in backend system design, backend platforms, data pipelines, and cloud infrastructure. I care about clean interfaces, observable systems, pragmatic architecture, and shipping code that survives real production traffic rather than just passing a demo.
My work spans FinTech, AdTech, EdTech, Telecom, and Ecommerce. Across these industries I have led cross-functional teams, built systems that process billions of events, and owned projects end to end — from proof of concept through production rollout, on-call, and long-term maintenance. That range has forced me to design for very different constraints: strict correctness and auditability in FinTech, high-throughput low-latency pipelines in AdTech, and cost-conscious scaling in EdTech and Ecommerce.
Focus Areas
- Distributed systems and microservices — designing service boundaries, contracts, and failure modes that stay predictable as a system grows.
- Backend architecture and API design — building interfaces that are easy to reason about, test, and evolve without breaking consumers.
- Cloud infrastructure on AWS and Kubernetes — provisioning and operating infrastructure that scales with demand and degrades gracefully under load.
- Event-driven platforms with Kafka and Redis — moving data reliably between systems with backpressure, retries, and idempotency handled by design.
- Data engineering with PySpark, Apache Beam, Dataflow, S3, and BigQuery — building pipelines that turn raw event streams into trustworthy, queryable data.
- Reliability, performance, observability, and cost optimization — instrumenting systems so problems surface before they become incidents, and keeping infrastructure spend proportional to actual load.
- Technical leadership and mentoring — reviewing designs, unblocking teams, and helping engineers grow into owning critical systems.
Core Stack
Java, Python, Go, JavaScript, AWS, Kubernetes, Docker, Kafka, PostgreSQL, Redis, Elasticsearch, MongoDB, PySpark, Apache Beam, Google Dataflow, BigQuery, Terraform, Linux, and CI/CD.
Contact
- Email: contact [at] anuraggoel [dot] in
- GitHub: github.com/beerus11
- LinkedIn: linkedin.com/in/beerus11
- Medium: medium.com/@beerus11
- X: @beerus1101