Position: Data Engineer
Category: Data Science
English level: intermediate
Years of experience: 1.5


Accenture Latvia, AVS – M5 Command Center(ITA)
Data engineer(06/2017 – 05/2018)
 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

Accenture Latvia, SDWAN (US)
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.

Accenture Latvia, Intelligent Bench Analysis (LV)
Data engineer (02/2017 – 04/2017)
 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

Accenture Latvia, Flights (LV)
Data engineer (12/2016 – 02/2017)
 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