Hinzinfotech

Source: Real-time CSV files with stock prices Target: JSON format files consumable by Data Analysts Goal: Automate the transformation and cataloging for query-ready analytics 🛠️ Step-by-Step Pipeline with AWS Services🔹 1. CSV Files Drop into S3Incoming files: stock data like stock_data_2025-06-16.csv S3 Source Bucket: s3://reedx-stock-raw/ These files were pushed by upstream providers or batched ingestion […]

✅ 15 PySpark Interview Q&As for Data Engineers: pythonCopyEditfrom pyspark.sql.functions import udffrom pyspark.sql.types import StringType def convert_upper(text):return text.upper() upper_udf = udf(convert_upper, StringType())df.withColumn(“upper_name”, upper_udf(df[“name”]))