Denis Solovev Email & Phone Number

With over nine years of professional experience in software engineering and three years dedicated to data engineering, my primary objective revolves around architecting high-quality data pipelines to empower organizations to leverage their data effectively.I firmly believe in applying best practices gleaned from software development methodologies to enhance the field of data engineering and maximize its value proposition. Achivements:* I have significantly mitigated churn metrics by 1.5 times by detecting and filtering non-production events, ensuring data integrity and accuracy.* I have established data warehouse query monitoring and alerting solution, effectively preventing potential performance degradation scenarios.* I achieved a 90% reduction in bugs within data pipelines by instituting quality assurance measures, including the implementation of a static analysis tool(sqlfluff), integration tests for DBT models, and unit tests for Airflow Jobs.* I have streamlined the process of extracting historical data from cold storage to the data warehouse by leveraging Redshift Spectrum, reducing the extraction time from several days to 15 minutes.Main Programmin Languages: Python, SQL.Have expirence with: Java, Kotlin, JS, Go, Bash.Main tech stack: Airflow, DBT, Redshift, RDS Postgres,Holistics, Athena, AWS Kinesis Firehose, Jenkins,Docker, Linux, Git.Have expirence with: EC2, ECS, ECR, EMR, AWS Lambda, AWS IAM, AWS Comprehend, SQLFluff, Terraform, MongoDB, Redis, BigQuery, Grafana.Languages:English: Very goodGerman: ModerateRussian: Fluent