I've built real-time data infrastructure projects including a CDC pipeline that streams PostgreSQL and MySQL changes through Kafka, detects conflicts, and resolves them using configurable strategies.
I created a column-level data lineage and impact analysis system that parses SQL and pandas scripts into a Neo4j graph, traces downstream schema-change impact, and generates severity-scored migration checklists. I also built a dynamic Apache Airflow DAG factory that registers database-configured ETL pipelines within 30 seconds.
I'm pursuing a Bachelor of Electronics, Communication and Information Engineering at Pulchowk Campus, IOE Tribhuvan University, and work with Python, SQL, Kafka, FastAPI, Airflow, PostgreSQL, Docker, and Neo4j.
