Sagar Rakshe
Principal System Engineer at Cloudflare
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolSagar Rakshe is a Principal System Engineer based in Bengaluru with 13 years of experience building and operating large-scale, 24x7 cloud-native systems and real-time OLAP data pipelines. He combines hands-on SRE and backend engineering—having authored tools in Go and open-sourced infrastructure utilities—with a track record of cutting infrastructure costs by up to 4x and delivering high-throughput ETL workflows. At companies from startups to Cloudflare, he has led platform and runtime builds, capacity planning, incident response, and automation that make deployments homogeneous and scalable. He contributes to open-source projects around BigQuery tooling, adding practical SQL features and date-range table selection to improve data engineering ergonomics. Known for pushing problems until they’re solved, he also mentors teams and shapes processes across recruitment and fintech domains. His background blends product-focused engineering leadership with deep operational pragmatism and measurable efficiency wins.
13 years of coding experience
8 years of employment as a software developer
B. Tech Computer Engineering, B. Tech Computer Engineering at Vishwakarma Institute Of Technology
Stackoverflow
2,792reputation
2.6mreached
10answers
7questions
pip
top-5%
python
top-5%
Github Skills (17)
unit-testing10
google-bigquery10
bigquery10
python10
sql10
query-optimization9
pip9
git-clone6
git-pull6
bash6
github6
gcloud6
git6
apache-spark6
google-cloud-platform6
Programming languages (9)
Github contributions (5)
tylertreat/BigQuery-Python
Oct 2015 - Feb 2016
Simple Python client for interacting with Google BigQuery.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:19 commits, 1 PR, 1 comment in 3 months
Contributions summary:Sagar focused on enhancing the functionality of a Python-based BigQuery client. Their contributions included adding support for SQL query generation features such as the `HAVING` and `BETWEEN` clauses. They also modified the `ORDER BY` clause and updated tests to align with these changes. Furthermore, the user implemented the ability to select tables using a date range.
google-bigquerybigquerypythonpython-client
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