Voicu Ionel Voicu Ionel

  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
Bucharest, Bucharest, Romania, RO
Languages
  • English Professional working proficiency

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

You need to have a working account to view this content.
You need to have a working account to view this content.

Experience

      - Connect to Salesforce using StreamSets and build pipelines for each table/country - Use Databricks to manipulate/transform the data - Build SQL views based on STTM - Use Airflow DAG's to move the data from a layer to another

      - Create visualisations and reports in Tableau with input from bussines, presenting demos and build reports for Tableau Server Usage Data/Metrics. - web scraping using python, preparing/analysing the data retrieved, combining it with the data which comes from AWS-Hadoop, and then building the consolidated file - Develop, test and deploy ETL jobs in BODS - Building a Database Object Versioning Application to store a definition of each table and view prior to it being changed and after it had been changed. - Develop and execute database queries and conduct analyses in big data (Teradata) Show less

      - Writing Dimension/SPSS/Python scripts to manipulate data for data loads and extracts. - Manipulating, cleansing & processing data using Excel, SPSS, Dimensions. - Tabulating the data according to the received specifications, making reports based on client preference - Checking of supplied data for sense, consistency and accuracy. - Compile and validate data; reinforce and maintain compliance with corporate standards - Dealing with customers and clients via email and telephone Show less

      - Manipulating, cleansing & processing data using Excel, Access and SQL. Responsible for loading, extracting and validation of client data. - Analyzing raw data, drawing conclusions & developing recommendations Writing Dimension scripts to manipulate data for data loads and extracts. Performing daily system checks. - Designing, developing and implementing new functionality. - Checking for compatibility issues between different programs (IBM SPSS Data Collection, SPSS Statistics), solving the problems that appear - Advising on the suitability of methodologies and suggesting improvements. Carrying out specified data processing and statistical techniques. - Supplying qualitative and quantitative data to clients. - Tabulating the data according to the received specifications, making reports based on client preference - Initiate contact with internal and external clients, tabulating the data according to the received specifications, making reports based on client preference, making standard data sets that are used by other research teams, merging data from different projects and tabulating the new database to see the wider perception about the product Show less

    • United Kingdom
    • Telecommunications
    • 100 - 200 Employee
    • Big Data Engineer
      • Sep 2022 - Present

    • United States
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Big Data Engineer
      • Jul 2021 - Sep 2022

      - Connect to Salesforce using StreamSets and build pipelines for each table/country - Use Databricks to manipulate/transform the data - Build SQL views based on STTM - Use Airflow DAG's to move the data from a layer to another - Connect to Salesforce using StreamSets and build pipelines for each table/country - Use Databricks to manipulate/transform the data - Build SQL views based on STTM - Use Airflow DAG's to move the data from a layer to another

    • United States
    • Food & Beverages
    • 700 & Above Employee
    • Business Intelligence & Analytics Analyst
      • Apr 2019 - Jul 2021

      - Create visualisations and reports in Tableau with input from bussines, presenting demos and build reports for Tableau Server Usage Data/Metrics. - web scraping using python, preparing/analysing the data retrieved, combining it with the data which comes from AWS-Hadoop, and then building the consolidated file - Develop, test and deploy ETL jobs in BODS - Building a Database Object Versioning Application to store a definition of each table and view prior to it being changed and after it had been changed. - Develop and execute database queries and conduct analyses in big data (Teradata) Show less

    • United Kingdom
    • Business Intelligence Platforms
    • 700 & Above Employee
    • Data Processing Executive
      • Aug 2017 - Apr 2019

      - Writing Dimension/SPSS/Python scripts to manipulate data for data loads and extracts. - Manipulating, cleansing & processing data using Excel, SPSS, Dimensions. - Tabulating the data according to the received specifications, making reports based on client preference - Checking of supplied data for sense, consistency and accuracy. - Compile and validate data; reinforce and maintain compliance with corporate standards - Dealing with customers and clients via email and telephone Show less

    • Romania
    • Market Research
    • 500 - 600 Employee
    • Data Analyst
      • May 2015 - Aug 2017

      - Manipulating, cleansing & processing data using Excel, Access and SQL. Responsible for loading, extracting and validation of client data. - Analyzing raw data, drawing conclusions & developing recommendations Writing Dimension scripts to manipulate data for data loads and extracts. Performing daily system checks. - Designing, developing and implementing new functionality. - Checking for compatibility issues between different programs (IBM SPSS Data Collection, SPSS Statistics), solving the problems that appear - Advising on the suitability of methodologies and suggesting improvements. Carrying out specified data processing and statistical techniques. - Supplying qualitative and quantitative data to clients. - Tabulating the data according to the received specifications, making reports based on client preference - Initiate contact with internal and external clients, tabulating the data according to the received specifications, making reports based on client preference, making standard data sets that are used by other research teams, merging data from different projects and tabulating the new database to see the wider perception about the product Show less

Education

  • Universitatea „Spiru Haret” din București
    Informatics
    2020 - 2022

Community

You need to have a working account to view this content. Click here to join now