Nabeel Raza

Experience

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  Foundation University Islamabad (FUI)

  Sept 2014 - Jul 2018

  Graduated Student
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  Dice Analytics

  Mar 2019 - now

  • Learning Hadoop Ecosystem.• Good in Hadoop Framework and Big Data concepts. • Having Experience in writing HIVE queries & Pig scripts. • Hands on with MapReduce Programming Model. • Importing and exporting data from HDFS using Sqoop. • Experience in Hive installation, configuration, setting up Metastore, setting up Hive Web Interface. • Writing Hive UDF's and Pig UDF's based on requirements. • Experience with the Hadoop stack (Tez, Sqoop, Yarn, Hive, Flume, Pig, Scala, etc) • Experience in integrating HBase with Hive, Pig. • Using Flume to download the data and loaded into HDFS after that do the sentimental analysis. • Handle the JSON data using Hive, Pig and filter the data based on query factor. • Experience on different compression techniques and File Formats. • Capable of processing large sets of structured, semi-structured and unstructured data and supporting systems application architecture. • Able to assess business rules, collaborate with stakeholders and perform source-to-target data mapping, design and review.• Familiar with data architecture including data ingestion pipeline design, Hadoop information architecture, data modeling and data mining, machine learning and advanced data processing. Experience optimizing ETL workflows. • IBM Certified, Hadoop Developer and Certified Hadoop Administrator. • Extremely motivated with good inter-personal Skills; have ability to work in strict deadlines. • Expertise in Hadoop Security and Hive Security. • Expertise in Hive Query Language and debugging hive issues_expertise in sqoop and Flume. • Extended Table columns for custom fields as per business requirements. Show less

  • Assistant Trainer

    May 2019 - now

  • Data Analyst

    Mar 2019 - now
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  Overstock.com

  Aug 2019 - Nov 2019

  Production Support Engineer of Machine Learning
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  HiveWorx

  Dec 2019 - Feb 2021

  Jr. Data Engineer

  - Develop, construct, test and maintain data pipeline architectures.- Data acquisition- Develop data set processes- Identify ways to improve data reliability, efficiency and quality of the system.- Prepare data for predictive and prescriptive modeling- Assemble large, complex data sets that meet functional / non-functional business requirements.- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.- Keep our data separated and secure across national boundaries through multiple data centers.- Work with data and analytics experts to strive for greater functionality in our data systems.- Build high-performance algorithms, predictive models, and prototypes.- Integrate up-and-coming data management and software engineering technologies into existing data structures.- Develop set processes for data mining, data modeling, and data production.- Create custom software components and analytics applications.- Employ an array of technological languages and tools to connect systems together.- Recommend different ways to constantly improve data reliability and quality. Show less

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  Systems Limited

  Mar 2021 - now

  • Principal Consultant

    Jan 2024 - now

  • Sr. Big Data Consultant

    Aug 2023 - May 2024

  • Big Data Consultant

    Mar 2021 - Jul 2023