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Manav Mahajan

@manavmahajan

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I build containerized ETL pipelines and lakehouse workflows with PySpark, Airflow, Docker, and GCP.

India

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What I'm looking for

I'm seeking a Data Engineering internship where I can contribute to production-grade pipelines, learn from senior engineers, and grow in distributed systems, cloud data warehousing, and large-scale data modeling.

I'm a Computer Science student building practical data engineering systems, including a containerized Medallion Data Lakehouse that processes 50K+ simulated FastAPI records with 99.5% pipeline uptime.

I engineered Bronze, Silver, and Gold layers using PySpark and Delta Lake, added Change Data Feed logic and JSON version tracking, and optimized query execution with broadcast joins, caching, and window functions. My work reduced average query runtime by 38%, deduplication time by 45%, and reprocessing overhead from late-arriving data by 30%.

I'm also building a no-code SQL operations tool with HTML, CSS, Python, FastAPI, Pandas, and PySpark, enabling users to filter, join, aggregate, and group data across CSV, Excel, Parquet, and JSON files without writing queries.

Experience

Work history, roles, and key accomplishments

Aspiring Data Engineer

Maharaja Agrasen College

B.Sc. Computer Science student with hands-on experience designing containerized ETL pipelines, lakehouse architectures, and distributed data processing workflows using PySpark, Airflow, and Docker.