Rakesh Sharma - Principal Software Engineer at Red Hat

Rakesh Sharma

Principal Software Engineer at Red Hat

Bengaluru, Karnataka, India

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Summary

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Rockstar

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Top School

Rakesh Sharma is a Principal Software Engineer based in Bengaluru with over a decade of expertise in data engineering and a recent focus on cloud-native data platforms. He has driven product and architectural decisions at companies like Zeotap and Rill Data, where he contributed backend infrastructure, data ingestion, and CLI tooling for a fast open-source dashboard project that integrates DuckDB and Apache Druid. At Red Hat he continues to apply this blend of hands-on engineering and system design, grounded in experience building GDPR-compliant data platforms and leading engineering teams. Known for pragmatic solutions, he pairs deep backend skills in Go and distributed systems with an aptitude for automating developer workflows and infrastructure testing. An under-the-radar strength is his work on testable Druid clusters and information schema implementations that improve observability and reliability in data pipelines.

3 years of coding experience

9 years of employment as a software developer

Kendriya Vidyalaya Sangathan

Bachelor of Engineering (BE) Computer Science and Engineering, Bachelor of Engineering (BE) Computer Science and Engineering at GOVERNMENT ENGINEERING COLLEGE, PATAN 022

Hindi, English

Github Skills (18)

sql10

go9

druid9

duckdb9

data-visualization8

data-analysis8

database8

database-administration8

data-visualisation8

databases8

go-testing8

test-container8

data-visualizations8

testing8

admin8

Programming languages (2)

C++Go

Github contributions (5)

rilldata/rill

Sep 2022 - Jan 2023

Rill is a tool for effortlessly transforming data sets into powerful, opinionated dashboards using SQL. BI-as-code.

Role in this project:

Backend Developer

Contributions:113 reviews, 101 commits, 116 PRs in 4 months

Contributions summary:Rakesh primarily contributed to the backend infrastructure and data ingestion aspects of the Rill project. Their work involved setting up a Druid cluster using test containers and implementing the infrastructure driver, including Docker setup and testing. The commits also include implementing the information schema for both DuckDB and Druid, along with adding methods to close and reconcile project build and serve. The user's commits demonstrate a focus on enhancing data ingestion capabilities.

parquet-toolscsvanalyticsdata-setsduckdb

rakeshsharma14317/go-duckdb

Dec 2022 - Feb 2023

go-duckdb provides a database/sql driver for the DuckDB database engine.

Contributions:27 pushes, 5 branches in 1 month

golangduckdbdatabase-enginesql-databasesql

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