Ing. Qutiba SHAIKH ELRD

Description - Build data warehouse architecture / ETL process to migrate the data daily.. - Build cohorts, charts and users details dashboards in Microstrategy using the built data marts and data warehouse layer. - Build reports in Microstrategy using the built data marts and data warehouse layer to provide detailed sheets about customers. - Manage and administrate Microstrategy server. Technologies Postgresql 9.4, Microstrategy 10.8 , Jenkins 2.9 , Python 2.7, Github

Description Reimplement and Integrate R data science/machine learning models (that are already built for normal datasets) into Hadoop cluster and run these models against Hadoop cluster, through: - Input & Output Data * Hive / Hortonworks cluster. - Algorithms * graph algorithms in mapreduce paradigm. * Use multicore algorithms executors libraries for complex calculations calculations(Frequent item set extraction ). - Testing - Logging - Model creation Scheduling (Using Oozie).

Data Engineer Consultant

Description - Install development Cloudera cluster. - Implement ETL using Pig, Hive and spark jobs . -Implement analytical spark jobs: * Customer’s segmentation. * Customer’s lifecycle (demonstrate the history). * Customer life value (prediction). Technologies Python, R , CDH (Cloudera Distributed Hadoop) 5.7, HDFS, Hive 1.1.0, HiveQL, Cloudera Impala 2.5.0, MapReduce, Apache Spark 1.6

This client is one of the biggest electricity service provider in Germany. it has a project called EMS “Energy Management Solutions” It provides analytical tool for energy provider (Electricity, Water and Gas) They target to build fully analytical tool including the data ingestion, preparation and analytics. I was working in Scrum team then I can select the task

Development Big Data solutions for Data Management on Hadoop ecosystem using the most recent Hadoop products and apply data mining models over big data (self-implemented and ready solutions). Technologies: Scala, Hadoop, Kudu, Streamsets, Spark, Mllib, Graphx, Hive, Impala, HiveQL, CDH, Oozie, Sqoop, Flume, Hue, DWH, ETL, Parquet, TSV, CSV, Maven, Linux, Git