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I’m Rohan, a Staff Data Engineer & Staff Platform Engineer working at the intersection of distributed systems, real-time data, and performance engineering. I build platforms with an emphasis on reliability, clear operational behavior, and the details that make them fast.
This is where I explore those ideas in code: stream processing semantics, columnar query execution, and the tradeoffs behind data-intensive systems.
Good infrastructure earns trust quietly: observable, recoverable, and predictably fast.
Four projects exploring how data moves, how engines execute, and where performance comes from.
| Discipline | The details that matter |
|---|---|
| Stream processing | Event time, watermarks, backpressure, checkpoints, and recovery. |
| Query engines | Columnar formats, vectorized execution, memory layout, and honest benchmarks. |
| Distributed data | Partitioning, consistency, fault tolerance, and lakehouse architecture. |
| Platform engineering | Kubernetes, infrastructure as code, observability, and developer experience. |
Languages Rust · Go · Java · Python · Scala · C++
Data systems Kafka · Flink · Spark · Arrow · DataFusion · Iceberg · ClickHouse · Trino · DuckDB
Infrastructure Kubernetes · Docker · Terraform · AWS · Airflow · Prometheus · Grafana
Across the wider stack
| Layer | Technologies |
|---|---|
| Messaging | Apache Pulsar, Kafka Streams, RabbitMQ, NATS |
| Compute | Spark Structured Streaming, Ray, Apache Hadoop |
| Analytics | Presto, Dremio, Apache Druid, Apache Pinot |
| Storage & formats | Delta Lake, Apache Hudi, Parquet, MinIO |
| Databases & search | PostgreSQL, Cassandra, ScyllaDB, CockroachDB, TiDB, MongoDB, Redis, Elasticsearch |
| Cloud & orchestration | Snowflake, BigQuery, Databricks, Argo |
I learn by reading implementations, testing ideas against real workloads, and contributing fixes and improvements. My interests keep bringing me back to data engines, streaming systems, storage, and Rust infrastructure.
Explore my open source contributions ↗
Refreshed daily · View live GitHub activity ↗
Always up for a thoughtful conversation about systems, data, and the craft of engineering.
Let’s build something that lasts ↗




