Position: Senior Data Engineer / BI Engineer
Category: Data Engineer
English level: fluent
Years of experience: 5

Google Cloud Certified Professional Data Engineer
Google Cloud certified professional Data Engineer with more than 2 years of hands-on experience in developing ETL processes and modeling DWH with cloud-based and on-prem solutions. 

Active skills:
- Cloud providers: GCP, AWS
- Programming languages: Python, shell, JS (Google AppsScript), R
- BigData technologies: Hadoop, HCFS (GCS, S3), Spark, Cassandra, MongoDB, Hive, Google BigQuery, Zeppelin
- Data streaming: Apache Kafka, Cloud Pub/Sub
- ETL: Google Cloud Dataflow, Talend solutions
- Pipelines orchestration: Apache Airflow
- Business Intelligence: Google Data Studio, Tableau, Google Sheets, BusinessObjects, Looker
- Machine Learning models deployment: Kubeflow, Cloud ML Engine
- Data Science basics: Supervised/Unsupervised models (mainly with sklearn), Deep Learning (Tensorflow, Pytorch), Natural Language Processing (bert large models, text classification), models tuning (GridSearch)
Looking for a part-time project as a Data Engineer or Data Analyst