Experience

• 

  Itree lietuva

  Aug 2012 - Jan 2016

  Software developer

  Oracle developer

• 

  Cern

  Jul 2014 - Oct 2014

  Trainee

  During the internship period the task was to migrate Workflow Management code to modern database and DBI, upgrade CMS software via RPMs and test it in Virtual Machines.

• 

  Vilnius university

  Apr 2016 - Oct 2016

  Software developer

  Software developer at a few CERN projects: CMS DB Loader application and RESTful API to Oracle databases.

• 

  Seb

  Oct 2016 - Aug 2023

  Technologies:* Cloud: Google Cloud Platform products and services. Worth to mention: Cloud Functions with Python, BigQuery, Pub Sub, Storage Buckets* IaC: Terraform.* Scheduling: Airflow.* CICD: Jenkins, GitLab (CI/CD Pipelines), Github Actions, Unit tests, Integration tests.* Containerization: OpenShift, Docker, Kubernetes.* Cloudera (ex. Hortonworks): HDFS, Hive, NiFi, Kafka.* Spark: Creating Spark ETL applications with Scala.* Databases: Hive, Oracle, MS SQL, IBM DB2.* Informatica: Big Data Management, Data Integration Hub, Power Center.Short Summary:2016 * Participation in creating first steps of Data Lake in SEB.2017 - 2018 * Storing data in Hadoop ecosystem (HDFS, Hive). * Technologies to do transformations are Informatica products: Big Data Management, Data Integration Hub. * Data sources: Oracle, MS SQL, IBM DB2, Hive, Apache Kafka, MQ, SFTP2017 - 2020 * Using Apache Spark (Scala) for heavier transformations. * Using Apache NiFi for data processing (Kafka, MQ, SFTP for data transportation services as a source) * Using Apache Airflow for Data Orchestration * Jenkins as CICD tool.2021 * Using OpenShift as a platform for hosting applications in containers2020 - 2023 * GCP as cloud service provider * Creating data pipelines with technologies such as: Cloud Functions with Python, BigQuery, Pub Sub, Storage Buckets * Creating reusable GCP components with IaC tool Terraform. * Using OpenShift as a platform, Docker as a containerization tool, Kubernetes as Orchestration * Creating APIs to provide data to customers or use it for inner operations. Show less Technologies:* Cloud: Google Cloud Platform products and services. Worth to mention: Cloud Functions with Python, BigQuery, Pub Sub, Storage Buckets* IaC: Terraform.* Scheduling: Airflow.* CICD: Jenkins, GitLab (CI/CD Pipelines), Github Actions, Unit tests, Integration tests.* Containerization: OpenShift, Docker, Kubernetes.* Cloudera (ex. Hortonworks): HDFS, Hive, NiFi, Kafka.* Spark: Creating Spark ETL applications with Scala.* Databases: Hive, Oracle, MS SQL, IBM DB2.* Informatica: Big Data Management, Data Integration Hub, Power Center.Short Summary:2016 * Participation in creating first steps of Data Lake in SEB.2017 - 2018 * Storing data in Hadoop ecosystem (HDFS, Hive). * Technologies to do transformations are Informatica products: Big Data Management, Data Integration Hub. * Data sources: Oracle, MS SQL, IBM DB2, Hive, Apache Kafka, MQ, SFTP2017 - 2020 * Using Apache Spark (Scala) for heavier transformations. * Using Apache NiFi for data processing (Kafka, MQ, SFTP for data transportation services as a source) * Using Apache Airflow for Data Orchestration * Jenkins as CICD tool.2021 * Using OpenShift as a platform for hosting applications in containers2020 - 2023 * GCP as cloud service provider * Creating data pipelines with technologies such as: Cloud Functions with Python, BigQuery, Pub Sub, Storage Buckets * Creating reusable GCP components with IaC tool Terraform. * Using OpenShift as a platform, Docker as a containerization tool, Kubernetes as Orchestration * Creating APIs to provide data to customers or use it for inner operations. Show less

  • Data Engineering Tech Lead

    Feb 2023 - Aug 2023

  • Senior Data Engineer

    Oct 2016 - Jan 2023
• 

  Oxylabs.io

  Sept 2023 - now

  • Data Engineering Tech Lead

    Jan 2024 - now

  • Senior Data Engineer

    Sept 2023 - Dec 2023