Developed Kafka and Spark streaming applications for online analytic systemImplemented monitoring solution for Spark Streaming applications based on spark query execution listenerInitiated automatic deployment solutions that doubled the delivery speedIntroduced proper Clickhouse usage patterns to the team, which provided a faster and more reliable platform for analyticKeywords: PySpark, Scala, Python, Kafka, Clickhouse

Wrote, debugged, and optimized Spark jobs, improving processing efficiencyDeveloping integration pipelines to load data from various sources, including HBase, PostgreSQL, and KafkaImproved migration process efficiency by automating data loading procedures and implementing rigorous quality control metrics.Keywords: Spark, Scala, Clickhouse, Airflow

Building data warehouse pipelines with the Informatica Power Center.Participation in the process of code review and optimization.Data mart visualization with Cognos BI.As part of the data governance process, a program has been created to automatically handle the impact of changes on the data pipeline.Keywords: Informatica Power Center, Cognos BI, Oracle

The tasks included the development and maintenance of an Oracle database with financial and marketing accounting.Combined the roles of data analyst and developer.Create and maintain data pipelines using Python and pl/sql.Keywords: Oracle pl/sql, Python, data analysis

Developed pipelines in Oracle Data Integrator and stored procedures.Creating dashboards in Oracle Business Intelligence. Some data was calculated on Microsoft OLAP Cube.

Worked on optimizing procedures for a retail company’s warehouse.Responsibilities included planning and optimizing truck routesKeywords: Microsoft SQL Server, data analysis