Bhavani Ravi
Founder And Data Consultant
Chennai, Tamil Nadu, India
Summary
👤
Senior🎓
Top SchoolBhavani Ravi is a founder and data consultant with 11 years of software engineering experience who builds AI-driven data solutions, workflow orchestration, and cloud-native backend systems. He combines deep hands-on expertise in Apache Airflow, Prefect, n8n, Docker/Kubernetes, and AWS/GCP with a strong Python backend and DevOps sensibility—evidenced by open-source contributions to the flagship Apache Airflow project. As a LinkedIn Learning instructor and international speaker, he pairs technical delivery with teaching and mentorship, helping teams adopt automation-first practices and AI Agents. He has led engineering teams and product initiatives that sped clinical trials and scaled enterprise integrations, and he often translates complex infrastructure needs into practical, teachable workflows. An interesting detail: beyond product work he has implemented MongoDB integrations and Step Functions organization in Airflow, signaling a focus on making orchestration systems more extensible for real-world data platforms.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering (B.E.) computer science and engineering, Bachelor of Engineering (B.E.) computer science and engineering at KCG College of Technology
English, Tamil
Stackoverflow
2,211reputation
124kreached
53answers
27questions
Github Skills (19)
apache-airflow10
python10
data-engineering10
workflow-engine10
amazon-web-services10
aws10
orchestration10
orchestra10
data-integration10
mongodb-database9
mongodb9
documentation7
sklearn-pandas6
unicode6
scikit-learn6
Programming languages (14)
Github contributions (5)
apache/airflow
Apr 2020 - Jan 2023
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:5 reviews, 12 PRs, 59 comments in 2 years 8 months
Contributions summary:Bhavani's contributions primarily involve enhancements and modifications to the Apache Airflow codebase. They added functionality to the `trigger_dagrun` operator and implemented features related to MongoDB integration within the MongoSensor, including adding a `mongo_db` parameter. The commits also included organizational changes and improvements to documentation, like adding `mongo_db` to a function docstring. Furthermore, the user worked on organizing classes within the AWS provider for Step Functions and DMS, suggesting a focus on infrastructure and workflow management.
monitorpythonschedulerapacheprogrammatically
bhavaniravi/flask-tutorial
Mar 2019 - Nov 2022
A tutorial to build your first flask application
Contributions:33 commits, 8 PRs, 23 pushes in 3 years 8 months
apipythonflaskflask-applicationwebapp
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.