DatabaseData WarehousingPower BIPythonSQLSQL Server Integration ServicesSSASSQL ServerOracleData AnalysisData Modeling
Summary
► Over 10 years working in computer software, specialized in Data Engineering and Analytics Platform solutions
► Solid knowledge in BI/data analytics architecture design, data governance processes of the acquisition, storage,
delivery and analytics services
► Experienced with cloud computing platforms, cloud-based services and traditional on-premises systems
► Experienced with Agile development framework; traditional approach of the Waterfall
***TECHNICAL HIGHLIGHTS
► Data integration solutions - implementation used Python, SQL Server Integration Services (SSIS), C#, Groovy; familiar
with data transfer through APIs (REST, GraphQL API)
► Database, data warehouse design and implementation (Synapse Analytics, Redshift, BigQuery, SQL Server; Oracle)
► Semantic data modeling in Power BI; SQL Server Analysis Services (SSAS)
► Power BI: Data analysis and visualization; Governance and deployment approaches
► Applied knowledge in advanced analytics: Linear Regression, K-mean Clustering, Hierarchical Clustering, Decision
Trees and Association Rules
► Well understanding of the data warehouse modeling techniques: The Kimball approach; Data Vault 2.0
► Knowledge on Big Data frameworks (Apache Spark - PySpark; Hadoop - HDFS, YARN, MapReduce; Microsoft APS -
BLOB, DMS, MPP, PolyBase)