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Malt Strategy
Dmytro TsyliurykDT

Dmytro Tsyliuryk

Data Engineer, Cloud, DevOps | Data Strategy

€600/day
Berlin, DE
8-15 years
Python
Microsoft Azure
Google cloud
SQL
Java

Average response time: 1 hour

About Dmytro

ABOUT ME
I have been working in the field of Big Data for more than 7 years during which I've gained hands-on experience with Spark, Hive, HDFS, YARN, Apache Livy, HBase, HiFi, Airflow, Docker, Kubernetes, MQTT, and more. Most often I use Scala, Python, and SQL programming languages, and I also have a basic knowledge of C/C++, Go, Java, Kotlin, and R. I have been using Azure, AWS, Digital Ocean, and Databricks cloud providers. I have practical experience in all phases of product implementation: initiation, research, requirement definition, design, establishment of milestones, development, integration, testing and further support. I have experience in firefighting with a highly loaded data processing system. I play an active and constructive role within the team. After some time, I've become a good connoisseur of business model and business field, which allows me to share knowledge among team members.
INDUSTRY EXPERTISE
Telecommunication, Mobile Games, User Acquisition, Retail, Logistics.

  • English

    Native or bilingual

  • German

    Conversational

  • Ukrainian

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • DHL
    Managing Engineer
    TRANSPORTATION
    December 2022 - May 2025 (2 years and 5 months)
    Berlin, Germany
    • Designing, enhancing, and maintaining data processing frameworks based on Spark and Delta Lake APIs.
    • Implementing metrics driven monitoring solution based on DataFrame API and Azure Log Analytics.
    • Actively participating in DevOps initiatives, including CI/CD integration, Databricks Unity Catalog migration, Terraform maintenance, and more.
    • Leveraging Databricks and Delta Lake features, including Unity Catalog, Deletion Vectors, Liquid Clustering, Delta Statistics, Change Delta Log, and more.
    Microsoft Azure Apache Spark Java Scala Data Engineer
  • New Yorker (DE)
    Big Data Engineer ||
    RETAIL (LARGE RETAILERS)
    November 2021 - December 2022 (1 year and 1 month)
    Berlin, Germany
    • Designing and contributing to Data Lake for Data Engineer and Data Science departments.
    • Migrating existing logic and tables to a new ERP system. Preparing and developing a migration method so that none of use-cases are broken.
    • Being part of Oracle CDC integration project. Defining test cases, initialising, and preparing POC for possible tool set.
    • Working closely with BI department. Integrating and adjusting common solutions across departments.
    Python Data Engineer Data Lake Docker SQL
  • Tilting Point
    Big Data Engineer & Software Engineer
    VIDEO GAMES AND ANIMATION
    January 2020 - November 2021 (1 year and 10 months)
    Kyiv, Ukraine
    • Developing and delivering key reports important to the company.
    • Generalizing the process of transferring data from raw view to pre-aggregated so that all source-specific logic can be avoided.
    • Improving data quality checks and data anomaly detection to help capture data provider issues faster.
    • Customizing deep integration with MMP platforms: Adjust,
    • Appsflyer, Singular. Developing processes to upload raw event data together with pre-aggregated.
    • Developing pipelines to upload, preprocess, and store data from a wide set of Ad Networks.
    • Developing custom functionality on top of Airflow, which allows to speed up backfill requests.
    • Supporting existing batch and streaming pipelines to deliver data to stakeholders as soon as possible.
    • Working directly with BI team to provide good quality data with correct data format.
    • Participating in design planning for the new Pager Duty incidents flow from open to resolved so that fixing time is accelerated.
    • Proactively communicating with User Acquisition team to provide new tools and adjust existing ones to increase overall team performance.
    Python Apache Spark Amazon Web Services Kubernetes live streaming
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Education

  • Faculty of Informatics and Computer Science
    National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
    2021
  • Physics and Mathematics
    Nizhyn Regional Pedagogical Lyceum
    2017

Certifications

Skill set

Amazon Web Services
Docker
MySQL
Apache Nifi
Apache Spark
Scala
Data Engineer
Data Lake
Kubernetes
live streaming
Hadoop
Pandas
Git
Hive

Categories