Profileimage by Timor Abdulaieve Data engineering, Data architecture, DataOps from Berlin

Timor Abdulaieve

partly available

Last update: 31.10.2023

Data engineering, Data architecture, DataOps

Graduation: Universität Potsdam computer science
Hourly-/Daily rates: show
Languages: German (Full Professional) | English (Full Professional) | Russian (Full Professional)

Attachments

Timor-Abdulaieve-CV-english_311023.pdf

Skills

10+ Years experience in Data engineering, Data architecture, DataOps, Information extraction and building complex distributed processing pipelines at scale.

Apache Spark, Pipeline Construction, Data processing, Data Mining, Machine learning, Big Data, Big Data Analytics, Natural Language Processing (NLP), Web Crawling, Apache Solr, elasticsearch, lxc, MongoDB, Apache Cassandra, Java, hdfs, Cloudera, Python, AWS, Platform, GCP, Git, Java Spring, Solr Cloud, software architecture, Apache Maven, Information retrieval

Project history

04/2023 - Present
DB Netz AG - Data Intelligence Consulting
DB Netz AG (Transport and Logistics, >10.000 employees)

Key responsibilities:
  • -  Setting up strategic objectives: Vision & Mission Data Lake DB Netz AG
  • -  Assessment of technical components and processes
  • -  Initiation and execution of Process and Technical improvements
  • -  Conception of Data Governance
  • -  Conception and Development of Data Lake Operations Framework
  • -  Enrichment of Data, ML and AI Use Cases

04/2020 - 10/2023
DB Fernverkehr AG - Lead data engineer / Data architect
DB Fernverkehr AG (Transport and Logistics, >10.000 employees)

Key responsibilities:
  • -  Migration of existing Cloudera based Datalake to native AWS
  • -  Migration and optimisation of existing pipelines to AWS
    (Glue/EMR)
  • -  Designing and development of reusable components for ETL
    pipelines
    Technologies:
    Spark, Glue, EMR, Scala, Python, CDK, CloudFormation, Lamda, Athena, RDS, Gitlab CI/CD, Docker

10/2019 - 01/2020
Zalando SE - Data governance and Compliance
Zalando SE (Consumer goods and retail, 5000-10.000 employees)

Data governance and Compliance / Data Lake team.
Building Compliance enforcement agent according to GDPR and Antitrust rules.
Key responsibilities:
  • -  Developing Data Compliance enforcement agent
  • -  Implementation of pipelines CI and CD
  • -  Monitoring and Alerting
  • -  Ensure production readiness
    Technologies:
    Delta Lake, EMR, AWS, Presto, Hive, Kubernetes, Docker, Java, CI/CD.

Local Availability

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