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Hi πŸ‘‹ My name is Sunil Maharana

Data Engineer

I am an enthusiastic data engineer who likes to explore big data technologies and implement them in the best way possible.

I am an Experienced Big Data Developer with a demonstrated history of work experience in the banking domain and CPG domain (Consumer Packed Goods).

Language: Python, Scala, Unix Scripting. Big Data: Hadoop, Apache Spark (Core/SQL), Hive, Sqoop. Cluster Environment: Cloudera, Hortonworks. Scheduling: Automic. Cloud: Azure. Methodology: Safe Agile. Experience in using different ETL tools. Data Mining: Hands-on Experience in various data mining algorithms. Machine Learning: Hands-on Experience.

  • 🌍  I'm based in Bangalore, India
  • βœ‰οΈΒ  You can contact me at [email protected]
  • 🧠  I'm learning Scala with Apache Spark
  • ⚑  I’m happy to chat, feel free to drop a message :)

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Python MySQL Oracle

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Sunil Maharana's Projects

algorithms icon algorithms

Minimal examples of data structures and algorithms in Python

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

git-cheat-sheet icon git-cheat-sheet

Git Cheat SheetδΈ­ζ–‡η‰ˆ, translated by Gevin (flyhigher139)

inf553 icon inf553

Implementation of Data Mining Algorithm on Spark with Python3

python icon python

All Algorithms implemented in Python

scala-practice icon scala-practice

This repo consists of all the practice codes to get started with Scala.

spark-py-notebooks icon spark-py-notebooks

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

twitter-streaming-application icon twitter-streaming-application

A Spark Streaming Application using D-Stream API that retrieves tweets every second and returns the most popular Hashtags with its count in a 5 minute window.

web-scraping icon web-scraping

Learn how to leverage Python's amazing tools to scrape data from other websites. The end goal of this course is to scrape blogs to analyze trending keywords and phrases. We'll be using Python 3.6, Requests, BeautifulSoup, Asyncio, Pandas, Numpy, and more!

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