Supervised Learning – Learning with Answers
📘 Day 4: Supervised Learning – Learning with Answers After understanding data and math intuition, it’s time to learn the …
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Hi, I'm Kaustav
Data Engineer
Senior Data Engineer with 5+ years of experience building scalable ETL pipelines, real-time data platforms, and cloud-native solutions on AWS. Passionate about turning complex data challenges into elegant solutions.
5+
Years Experience
20+
Projects Delivered
10M+
Records/Day
data_pipeline.py
1from pyspark.sql import SparkSession
2from awsglue.context import GlueContext
3
4class ETLPipeline:
5 def __init__(self):
6 self.spark = SparkSession.builder \
7 .appName("DataPipeline") \
8 .getOrCreate()
9
10 def process(self, source):
11 # Transform millions of records
12 return self.transform(source)
Expertise
What I Do Best
Specialized in building robust, scalable data infrastructure on cloud platforms
AWS Data Engineering
Building serverless data lakes and ETL pipelines using Glue, Lambda, S3, and EMR.
Apache Spark
Processing millions of records with PySpark, optimizing jobs for performance.
Python Development
5+ years of Python for data processing, automation, and backend services.
Real-time Processing
Event-driven architectures with Kafka, Kinesis, and streaming pipelines.
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