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Darshan Shah

Big Data/Hadoop/Spark/Data Engineer

  • Big Data Engineer/Spark Engineer at Staples (Dec 2018 – present)
  • Big Data Engineer at Staples (Dec 2018 – present)
  • Big Data/Spark Engineer at DentaQuest (Jan 2018 – Nov 2018)
  • Hadoop Engineer/Data Engineer at Credence Analytics (Jul 2016 – Nov 2017)
  • Data Engineer at Quantiphi Analytics (Mar 2015 – Jun 2016)
Skills
  • Big Data Tools: Hadoop, Map Reduce, HDFS 2, Hive, Pig, HBase, Sqoop, Spark, Kafka
  • OLAP & ETL Tools: Tableau, Spyder, Spark, SSIS, Informatica Power Center
    Data Modelling Tools Microsoft Visio, ER Studio, Erwin
  • Python and R libraries: R-tidyr, tidyverse, dplyr reshape, lubridate, Python – beautiful Soup, numpy, scipy, matplotlib, python-twitter, pandas, scikit-learn, keras, tensorflow, NLTK
  • Languages: SQL, Python, R, Scala
  • Data Warehouse schemas: Star Schema, Snowflake schema
  • Database: MySQL, Hive, Teradata, MS Access, SQL Server, Oracle, Mongo DB, PostgreSQL
  • Reporting Tools: MS Excel, Tableau, Power BI, QlikView, Qlik Sense, D3, SSRS, SSIS
  • Cloud Computing Tools: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP)
  • Machine Learning:Regression, Clustering, MLlib, Linear Regression, Logistic Regression, Decision Tree, SVM, Naive Bayes, KNN, K-Means, Random Forest, and Gradient Boost & Adaboost, Neural Networks and Time Series Analysis.
  • Data Science Tools: Machine Learning, Deep Learning, Data Warehouse, Data Mining, Data Analysis, Big data, Visualizing, Data Munging, Data Modelling
  • Operating Systems: Windows, Linux, Mac OS