Pavel Tyurin

Pavel tyurin

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  • Timeline

  • About me

    Data Analytics Manager at Veeam Software

  • Education

    • Lipetsk state pedagogical university (lspu)

      2007 - 2012
      Specialist applied informatics in economics
    • Liceum №44, russia, lipetsk

      1997 - 2007
      Economics
  • Experience

    • Concrete constructions plant "zhelezobeton"

      Jul 2013 - Aug 2014
      Programmer-engineer

      -Administration and rework of 1C 8.2(Manufacturing enterprise management) configuration-System and network administration-Network installation -Creation and maintenance of a web-site-Helpdesk -Windows Server 2008 and Linux gateway maintenance-Remote administration(Teamviewer, Ammyy, Radmin, RDP)

    • Auchan retail russia

      Aug 2014 - May 2018
      It specialist

      -Helpdesk-System and network administration-Remote helpdesk of 11 objects (Auchan hypermarkets, ATAK supermarkets, Raduga stores)-Daily equipment and IT systems status reports-Tivoli backup data restoration-Wi-fi networks, Voice over IP telephony-Avaya, Cisco, IBM, HP equipment-Network remodeling -Cooperation with suppliers of equipment and services-Cooperation with higher levels of IT Support-Maintaining object documentation up to date.-Kaspersky antivirus reports and policies.-Virtualization, Citrix, VMware VSphere. Show less

    • Veeam software

      Jun 2018 - now

      Lead a team of Data Engineers, Data Analysts, and DevOps engineers in developing distributed data ETL systems and projects aimed at automating the analysis of large telemetry datasets.Build product metrics projects covering 15 Veeam software products.Work with data projects throughout the entire process: prepare specifications for data collection needs, validate and test data, clean and wrangle data, conduct research and analysis using Python and SQL, create final visualizations.Lead the development and design of distributed architectures and services-intensive applications, including real-time data processing, which, on average, saves half an hour daily of manual routine for each support engineer among a team of 500+ engineers.Lead data analytics projects, including anomaly detection, helping uncover product issues preventively.Create requirements for monitoring data collection systems and ensuring data quality.Manage data security and anonymity, monitor compliance with data policies, and maintain relevant external documentation.Build integrations with the GPT API.Tech stack:Operating Systems: LinuxVersion Control: GitProgramming Languages: PythonTesting Framework: UnittestsContainerization and Orchestration: Docker, KubernetesDatabases: PostgreSQLData Processing Tools: Kafka, Parquet, Pandas, AirflowWeb Frameworks: Django, FlaskMonitoring and Visualization: Prometheus, Grafana Show less Linux microservices architecture, development, testing, building, deployment.Developing algorithms to transform raw data into actionable information.The first part of a job is preparing anonymized datasets that align with business needs for further analytics queries. Also, building of ETL pipelines with metrics monitoring.The second part of a job is automation of support and QA departments daily routine. Includes several projects:1. Bug matching project. Scans customers' logs for known issues and notifies support engineer if anything is found. Allows support engineer to approach case investigation based on bug matching results.2. Log parser project. Scans customers' logs to extract essential data and represent it in human-readable format for support engineers. Also finds product misconfiguration and other potential issues(e.g. too many concurrent tasks per host, throughput bottlenecks analysis and etc.). Highly flexible, new parsing rules might be added on-fly.3. Stacktrace aggregation project. Extracts all Error stack traces from product logs, cleans and aggregates them. After certain transformations sorts stack traces as parents and children based on similarity ratio and to identify commonly-alerting issues among data in QA labs or customers data.Tech stack:Linux, GitPython, Unittests, Docker, Kubernetes, PostgreSQL, Kafka, Parquet, PandasDjango, FlaskPrometheus, Grafana Show less Veeam Cloud & Service Providers Support-Perform troubleshooting and analysis, including extended log file investigation, SQL DB examination, and customer’s environment examination including advanced troubleshooting tools( e.g. iperf, process monitor, Wireshark, Diskspd)-Communication with QA and R&D regarding bugs, fixes and features requests.-Document all customer interactions (emails, calls, etc.) accurately and within SLA in a CRM tool and ensure proper and consistent communication of issue status to customers Show less -Responsible for handling new cases according to the Veeam Service Level Agreement (SLA); providing initial support, diagnosing problems and determining the need for escalation-Fortify client relationships focused on 100% customer satisfaction-Document all customer interactions (emails, calls, etc.) accurately and within SLA in a CRM tool-Ensure proper and consistent communication of issue status to customers, sales representatives and senior engineersPerform troubleshooting and analysis, including log file investigation Show less

      • Manager, Data Analytics

        Aug 2022 - now
      • Data Engineer

        May 2021 - Aug 2022
      • Data Engineer

        Aug 2020 - Apr 2021
      • Cloud Support Engineer

        Apr 2019 - Aug 2020
      • Junior Customer Support Engineer

        Jun 2018 - Mar 2019
  • Licenses & Certifications

    • Astronomer certification for apache airflow fundamentals

      Astronomer
      May 2023
      View certificate certificate