
Building production-ready data pipelines and backend services.
Python • Spark • Kafka • Airflow • Django • FastAPI
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I am Abhiraj Adhikary, an undergraduate CSE (Data Science) student focused on data engineering and backend systems. I build reliable pipelines and developer-first products with practical, production-minded architecture.
> Hands-on with Spark, Kafka, Airflow, SQL, DBT, Snowflake.
> Backend development using Python, Django, FastAPI, Flask.
> CI/CD, Docker, cloud deployments, and observability with Prometheus/Grafana.
/// SYSTEM_OPTIMIZED
@ Resourcio Community (Part-time)
@ Brah.ma (Internship)
@ IEEE HIT Student Branch (Part-time)
@ Springer Capital (Internship)
@ GirlScript Summer of Code (Part-time)
LIVE





Flask backend with Pytest, Docker containerization, GitHub Actions CI/CD, and Prometheus/Grafana monitoring.
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AI-powered agent that scrapes GitHub profiles and generates HTML summaries using n8n and Mistral AI.
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Streamlit dashboard for analyzing Dropbox sentiment using Airbyte for extraction and DuckDB for storage.
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Performance comparison on filtering, aggregation, and join operations across data manipulation libraries.
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Version control essentials, git branching, pull requests, and open-source contribution workflows explained visually.
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