WORK EXPERIENCE

1. Big data engineer

• Design and implement batch and event-driven workflows for big data processing
• Autmated tests for distributed applications
• Data analysis and visualization
• Developing applications for data ingestion and selection
• Developing a recommendation system

Tools & Technologies: Apache Spark, Hortonworks Data Platform 3 (YARN 3, Hive 3, Oozie 4, Zeppelin, Superset), PostgreSQL, SQL, Scala, Python, Google Cloud (AI, Big Data services), AWS (Storage, Database, Machine learning services).

2. Data scientist

• Data analisys
• Applying machine learning algorythms
• Image analisys
• Image recognition
• Neural networks developing and tuning

Technologies & Tools: Python, Keras, TensorFlow, Theano, OpenCV, Pandas.

3. .NET Developer

• Database development
• ETL operations engineering
• Development of backend services for data curation
• Automated tests for CI/CD workflows

Technologies & Tools: Microsoft SQL Server, SQL, .NET Framework, .NET Core, C#.