Backend Engineer focused on Python, Django, and data-intensive platforms. I work on scalable ingestion systems, metadata platforms, and performance-critical backend services, and actively contribute to large open-source codebases.
- Design and build robust backend systems
- Work on large-scale data ingestion pipelines
- Debug and fix performance & memory bottlenecks
- Contribute to open-source data and infrastructure projects
- Comfortable with production-grade codebases, reviews, CI/CD, and long-running systems
- Python, SQL
- Django
- Django REST Framework
- Flask
- RESTful APIs, Microservices
- Apache Airflow
- dbt
- Trino
- Kafka
- Docker
- Apache Ranger
- Metadata ingestion & data lineage systems
- PostgreSQL
- MySQL
- Snowflake
- Databricks
- BigQuery
- Oracle
- AWS
- GCP
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Active contributor to large open-source repositories
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Experience working with:
- Metadata ingestion frameworks
- Data governance & lineage platforms
- Connector-based and plugin-driven architectures
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Regular involvement in:
- Pull requests & code reviews
- Debugging production issues
- Performance and scalability improvements
I enjoy solving problems where correctness, scalability, and maintainability truly matter.
- Backend scalability & performance tuning
- Reliable data ingestion systems
- Metadata platforms & data governance
- Clean architecture and maintainable systems
- 💼 LinkedIn: https://www.linkedin.com/in/keshavmohta09/
- Open to collaboration on backend, data, and open-source projects
- Always happy to discuss system design, performance, and data platforms