Ahmedabad, Gujarat · harsh.patel@email.com · +91 98765 43210 · github.com/harsh-patel
B.Tech Computer Engineering graduate (2025) aiming for a Data Engineer role, skilled in Python, SQL and Airflow. Built a pipeline that loaded 2.1 million rows of city bus data over 90 days without a missed run.
B.Tech, Computer Engineering, Nirma University, Ahmedabad2021 – 2025 · CGPA 8.0
Class XII, Gujarat State Board2021 · 89%
Languages: Python, SQL
Tools: Apache Spark, Airflow, PostgreSQL, AWS (S3), Docker
Concepts: ETL, data modelling, data quality checks
City bus data pipeline | Python, Airflow, PostgreSQL | SoloFeb 2025
• An ETL pipeline that pulls a city’s open bus-arrival data every 15 minutes and loads it into PostgreSQL.
• Scheduled it in Airflow with retries, kept the raw files on AWS S3, and wrote SQL views for a daily delay report.
• Ran for 90 days without a missed load and collected 2.1 million rows.
Order analytics with Spark | Apache Spark, Python, Docker | Team of 2Sep 2024
• Processed 5 GB of public e-commerce orders with Apache Spark (PySpark) running in Docker on a laptop.
• Did the data modelling: a star schema with one fact table and four dimensions.
• Queries that took 40 seconds on the raw CSV files ran in 3.
Data Engineering Intern, Shopwise, BengaluruMay 2024 – Jul 2024
• Moved 6 daily Excel reports into scheduled SQL jobs, saving the analytics team about an hour a day.
• Wrote Python data quality checks for missing and duplicate rows before each load; they caught 3 bad loads in two months.