Position: Junior DevOps
Category: DevOps
English level: fluent
Years of experience: 0.5

Hello, I’m a Data Analyst acquainted with Cloud Solutions(AWS and Google Cloud) and BigData tools.
 Looking for new opportunities as Data Engineer or DevOps
 Skills:

+ Programming: Python(pandas, TensorFlow, scikit-learn, matplotlib, pyplot, seaborn), Bash Scripting
+ Database: MySQL/PostgreSQL, MongoDB, Hbase
+ Data Warehouse: Google BigQuery
+ ETL-tools: Airflow, AWS Kinesis, AWS Glue, AWS Athena, dbt
+ Cluster-computing: Hadoop(HDFS, MapReduce, Hive)
+ (IaC) Infrastructure as a Code: Terraform, Docker
+ BI-tools: Tableau, AWS Quicksight, Google Data Studio
+ Other: Linux Administration knowledge, Git,
+ Familiar with: Scala, HTML, CSS, PowerBI, NGINX

++ Communication: Ukrainian, English(C1 Advanced)
++ Certifications: AWS Certified Developer Associate
INFUSEMedia ( Data Analyst position )
July 2022 - present
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- Build and maintained Data Quality full-cycle pipelines, using AWS, Graphana, Prometheus and Docker, that resulted in filtering over 70 percent of bad data.

- Conducted extensive Data Analysis with Python, and using that results built algorithms, that helped with deduplication and boosted an overall percent of deduplicated data up to x3 times.

- Build pipelines for visualization of Data Quality in real-time using Graphana, Prometheus and Python, which helped to determine and prevent spikes and losses in quality of transferred data, while lowering amount of downgrade in perfomance during testing up to x1.5 times.