Location
PolandRate
Years of experience
13+About
An accomplished Senior Data Engineer with over 17 years of experience in databases, data architecture, and cloud data engineering. Specializing in complex data migrations, data lake development, and large-scale data processing, with a proven track record of delivering robust and scalable solutions for high-profile clients across various industries. Expertise in working with advanced technologies such as Azure SQL, Databricks, and MS SQL Server, combined with a deep understanding of ETL processes, data integration, and cloud services. Successfully led multiple projects, including the development of GreenHouse Gases reporting systems and the migration of critical data to Azure Cloud environments. Adept at designing efficient database structures, optimizing processes, and ensuring seamless data flow across systems. Known for strong problem-solving skills, attention to detail, and the ability to collaborate effectively with both technical teams and business stakeholders. Multilingual and continually committed to expanding knowledge through certifications and advanced courses in data engineering and cloud computing.Tech Stack
Data Engineering, Azure, Cloud, Data modelling, Data Science, Database, Databricks, DevOps, ETL, MS SQL, Power BI, PySpark, Python, SQLExperience
- Developed and optimized complex database structures and data architectures for large-scale projects.
- Led the migration of critical data systems to Azure Cloud, ensuring seamless integration and minimal downtime.
- Implemented advanced data processing solutions using Azure Databricks and MS SQL Server.
- Designed and deployed efficient ETL processes, enhancing data flow and improving reporting accuracy.
- Coordinated cross-functional teams to successfully deliver high-impact data engineering projects.
- Conducted thorough testing and validation of data systems, ensuring accuracy and reliability in all deployments.
Employment history
• Developed MS SQL Server databases, including tables, views, stored procedures, keys, and constraints.
• Implemented calculations according to business requirements.
• Created stored procedures for calculations and data extraction.
• Designed database structures and overall architecture for project data.
• Performed functional and technical testing of the application with calculations.
• Deployed code on different environments using Azure DevOps Pipelines and Azure DevOps Releases.
• Communicated with both technical developers and business managers.
• Delivered the roll-out and embedding of Data Foundation initiatives in support of key business programs.
• Provided advisory on technology use and implementation.
• Coordinated change management, incident management, and problem management processes.
• Ensured traceability of requirements from data through testing and scope changes.
• Managed the migration of data from applications to Azure Cloud.
• Developed Databricks notebooks for extracting data from application APIs.
• Designed final architectural solutions for data projects.
• Implemented processes in Azure Data Factory to streamline data flow.
• Optimized notebooks for performance and cost efficiency.
• Analyzed business needs and translated them into technical solutions.
• Created ETL processes for data warehouses, designed transformations, and populated data marts.
• Developed reports using SSIS and SSRS modules.
• Analyzed business needs to optimize existing processes and reports.
• Designed and implemented new reports to meet business requirements.
• Managed data migration between systems for a national project.
• Populated data marts for reporting purposes.
• Created jobs and analyzed data for further implementation.
• Migrated data between systems and servers.
• Designed and administered processes for populating reports.
• Developed scripts with functions and procedures to control data loading.
• Monitored and maintained database environments.
• Developed and optimized database systems for better performance.
• Implemented data marts and adjusted data schemes.
• Tested scripts to ensure reliability and accuracy.
• Prepared reports and statistics to analyze marketing campaigns.
• Performed data mining to select optimal customer models.
• Configured marketing campaigns and conducted data modeling.
• Prepared and configured marketing campaigns.
• Prepared analysis for the CRM Department
• Analyzed sales trends and customer behavior.
• Developed client segmentation models and CRM databases.
• Prepared data for OLAP cubes and carried out migration processes.
• Predicted future trends in the company and created sales schemas.
• Participated in a new project introducing another sales channel.
• Merged and analyzed client databases for sales analysis.
• Modeled success indicators and created reports on client activities.
• Carried on calculations based on OLAP cubes.
• Created reports concerning clients’ activities – sale, complaints, applications, contracts.
• Analyzed customer activities and behaviors for TVP’s Internet portal.
• Created reports for the marketing department and portal designers.
• Managed issues reported by customers and supported the issue-handling process.
• Conducted services quality monitoring.
• Maintenance of the team support.
• Participated in a strategic content distribution project.
• Coordinated system development work and performed feasibility studies.
• Supported marketing during the introduction of new features and conducted functional tests.
• Created assessment report summarizing project’s progress at the start of the new phase.
• Research and development related to the usage of the Microsoft Silverlight technology.
• Supported marketing department during introduction of new features.
Education history
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