Data enginner / data scientist
Ole*** ***** (XX años)
Empleado en Accenture Latvia, AVS – M5 Command Center(ITA)
National Aviation University Kiev
Barcelona,
Barcelona
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Experiencia
Empleado
Accenture Latvia, AVS – M5 Command Center(ITA)
jun 2017
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may 2018
Data engineer ● Support the Operation area through analysis and reporting on the operational data of the networking equipment, the measurement of network performance (KPI) and the quality of the services provided by the IPTV product. ● Operate with critical identification objectives providing indications for continuous improvement of results. ● Support the customer by creating summary dashboards and system alarms derived from data analysis. ● Applications of the Splunk, Python, Shell, Postman products ● Universal Forwarder installation and configuration in Linux and Windows environments ● Indexer and Deployment Server installation ● Сonfiguration of new apps for monitoring data on machines ● Сonfiguration of monitoring rules for text and script files .sh, .py ● Integration of Postman, Python with the Splunk product for the monitoring of APIs exposed by the Accenture Video Solution product
Empleado
Accenture Latvia, SDWAN (US)
abr 2017
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jun 2017
Data engineer (04/2017 – 06/2017) ● Creating dataset mockups and visualizations of SDWAN work. ● Using Python and Pandas library (Python) for preparing data ● Tableau for analyzing and visualization of SDWAN work.
Empleado
Accenture Latvia, Intelligent Bench Analysis (LV)
feb 2017
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abr 2017
Data engineer ● Creating dashboard with information about projects, where candidates auto match for every project by Skills, Skill level and etc. and for every employee matches information about projects where he can work with his skills. ● Developing application for auto updating Riga Project Dashboards in Splunk and exporting data from this dashboards for analyzing. Using Bash Scripts, Python for developing and Splunk for analyzing and visualisation data
Empleado
Accenture Latvia, Flights (LV)
dic 2016
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feb 2017
Data engineer ● Create a service which can collect information about flights to different destinations and for different duration stay. ● Creating summary dashboard and system alarms derived from data analysis. ● Using Python for collect data from sites like Google flights. Flume for inserting data to Hadoop. Spark for transforming and data analysis. Hive for data analysis. Qlikview for visualization results of data analysis. Splunk for system monitoring and build alerts based on analyzed data
Formación
Civil Engineer
National Aviation University Kiev
sep 2008
-
jul 2013
Idiomas
English - Intermediate
Ukrainian - Native
Russiun - Native
Otros datos
Courses
Artificial Intelligence A-Z™: Learn How To Build An AI - Udemy, now Apache Spark 2.0 with Scala - Hands On with Big Data - Udemy, April 2018 The Ultimate Hands-On Hadoop - Tame your Big Data - Udemy, April 2018 Deep Learning and Computer Vision A-Z™: OpenCV, SSD & GANs - Udemy, February 2018 Data Science, Deep Learning, & Machine Learning with Python - Udemy, February 2018 Big Data Analysis with Scala and Spark - Coursera, January 2018 Functional Program Design in Scala - Coursera, December 2017 Object Oriented Programming in Java - Coursera, September 2017 Hadoop Platform and Application Framework - Coursera, September 2017 Functional Programming Principles in Scala - Coursera, May 2017 SQL - Stanford University, January 2017 Splunk Certified Power User - Splunk, January 2017 Advanced Java programming course - ArtCode Kiev, September 2016 Object-oriented programming in Java - ArtCode Kiev, June 2016