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This objective behind this is to learn MapReduce Model within the Hadoop Framework that is used to access big data stored in the Hadoop File System (HDFS).

License: MIT License

mapreduce's Introduction

πŸ₯· About Me

I'm a Data Engineer with a background in Application Engineering, Data & Infrastructure Management and Automation at Amazon. Currently, a student at 🏫 Brunel University studying πŸŽ“Master of Science in Data Science and Analytics.

πŸ›  Skills

Core Skills: Exploratory Data Analysis, Machine Learning, ETL Data Pipeline, AWS Services S3, DynamoDB, Redshift

πŸ‘¨β€πŸ’»Tech Stack

  • Python & R Programming - Pandas, NumPy, SciPy, Sic-Kit Learn, Seaborn, MatploLib, ggplotLib, Tensorflow

  • Data Management - Docker, Hadoop, Scala, Airflow, Kafka, Terraform, GCP

  • Miscellaneous Technologies - Regular Expression, Git, Excel, DROOLS, Xpath, Linux

  • Previously Worked on AWS services like SQS, SNS, Redshift, EC2, SWF & ELK (Elastic Search, Logstash & Kibana)

Currently..

  • πŸ“œ I’m currently learning: ML flow management tools, and Building Data Pipeline for the NY Taxi Data Analysis.
  • πŸ”­ I’m currently working on: Identifying a Better problem for the Post Grad Thesis & Venturing to start writing Blogs on the Tech issues & Learning
  • 🀝 I'm happy to collaborate on projects in automation and AI, interested in working/Knowing more about Data Engineering) in different Fields. 🧨
  • πŸ” Whether I'm in a new city or not, I make it a point to attend a tech meetup once a month, to meet great minds and PyData meetup is something I never miss.

πŸ”— Links

linkedin

mapreduce's People

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