(415) 555-0186 ◇ San Francisco, CA
rohan.venkatesh@example.com ◇ linkedin.com/in/rohan-venkatesh ◇ rohanvenkatesh.com
Python developer with 6 years building backend services and data pipelines for a logistics software company, currently owning 4 services handling about 12 million API requests a day with a 99.95% availability record over 3 years. Cut p95 latency on the shipment tracking API from 480 milliseconds to 90, cut cloud cost for the data pipeline 40% by moving batch jobs to an event-driven design, and maintains 92% test coverage across about 60,000 lines of Python. Writes code that is boring to read on purpose, so the next person can change it without a meeting.
Coursework in Data Structures, Algorithms, Databases, Distributed Systems, Operating Systems, and Software Engineering.
Also completed an advanced asynchronous Python course in 2023 and a PostgreSQL performance tuning course in 2024.
- Own 4 backend services in FastAPI handling about 12 million API requests a day for 900 shipper customers, with a 99.95% availability record over 3 years.
- Cut p95 latency on the shipment tracking API from 480 milliseconds to 90 through query rewrites, Redis caching, and connection pooling, serving 5 million tracking lookups a day.
- Cut cloud cost for the data pipeline 40% by replacing 30 hourly batch jobs with an event-driven design on Kafka and Lambda, saving about $220K a year.
- Built a Django REST API for a customer analytics product used by 300 accounts, growing it from 20 endpoints to 110 over 2.5 years.
- Raised test coverage from 45% to 88% and cut production incidents from about 6 a month to 1 through a pytest suite of 2,400 tests.
- Built an ETL pipeline in Python processing 40 million events a day with a 99.9% on-time completion rate.
- Built a Python command line tool for exporting customer reports during a 12-week internship, replacing a manual process that took 3 hours a week.
- Wrote 180 unit tests for a legacy module and found 9 defects fixed before release.
- Received a full-time offer at the end of the 12-week internship based on the export tool.
Shipment Tracking API Rewrite. Rewrote the tracking API from a synchronous Django view to an asynchronous FastAPI service with a Redis read-through cache, 3 rewritten PostgreSQL queries, and connection pooling, load tested at 3 times peak traffic, which cut p95 latency from 480 milliseconds to 90 and cut database load 60%.
Event-Driven Data Pipeline. Redesigned a pipeline of 30 hourly batch jobs into 12 Kafka consumers and Lambda functions with idempotent processing and a dead letter queue, migrated over 5 months with parallel runs, which cut data freshness from 60 minutes to under 2, cut cloud cost 40%, and cut pipeline incidents 75%.
Internal Python Service Template. Built a cookiecutter template with FastAPI, SQLAlchemy, pytest, Docker, a GitHub Actions pipeline, and Datadog instrumentation, adopted for 14 new services by 5 teams, which cut the time to a first production deployment for a new service from about 2 weeks to 2 days.
- Contribute to an open-source Python HTTP client library with about 25 merged pull requests since 2022.
- Speaker at 2 regional Python meetups on asynchronous service design.
- Volunteer instructor for a weekend Python course for adults, teaching about 15 students a term.
- Technical lead for a team of 5 developers on the tracking and notifications services, owning design reviews and on-call rotation.
- Mentored 4 junior developers, 2 of whom were promoted within 18 months.
- Author the Python coding standards for an engineering organisation of 60 and review about 20 pull requests a week.

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