Data Engineer, Database Engineer

На данный момент Database Engineer.

Мои компетенции и опыт

Data Scientist, Database Management Systems Engineer at KPO нужен доступ к резюме (Joint Chevron, ENI, BG, Shell, Lukoil), нужен доступ к резюме current

Key responsibilities:

- Change Management: Involves managing changes to systems, processes, or environments to minimize disruptions and ensure smooth transitions.

- Database Administration: Encompasses tasks such as database design, installation, configuration, security, and day-to-day management both on-premise and cloud.

- Windows Failover Cluster Management, AlwaysOn: Focuses on setting up and managing high availability solutions in a Windows environment, including failover clusters and AlwaysOn availability groups.

- Backup and Recovery Strategy: Involves planning and implementing strategies to safeguard data and ensure quick recovery in case of data loss or system failures.

- Performance Monitoring and Tuning: Includes activities to monitor and optimize database performance, ensuring efficient and reliable operation.

- High Availability & Disaster Recovery: Encompasses planning and implementing solutions to ensure high availability and rapid recovery from disasters.

- Data ETL Operations using SSIS, PowerShell, Python: Involves Extract, Transform, Load (ETL) processes for moving and transforming data, mostly using tools like Airflow, SQL Server Integration Services (SSIS) and PowerShell scripting.

- Data Analysis using TSQL, Python: Utilizes T-SQL for querying and manipulating data in Microsoft SQL Server, and Python for more advanced data analysis tasks.

- Machine Learning: Involves using the scikit-learn library in Python for machine learning tasks, suggesting a capability to apply machine learning techniques to data.

- SQL Server Reporting Services: Includes designing, deploying, and managing reports using SQL Server Reporting Services (SSRS).

- Power BI Report Server Administration: Involves the administration and management of Power BI Report Server, which hosts Power BI reports.

- Power BI Report Development: Encompasses creating reports and dashboards using Power BI, a powerful business intelligence tool.

Key achievements:

-Spearheaded the development of an advanced Well Pressure Forecasting System, optimizing operational efficiency in the oil and gas sector using Machine Learning algorithms (Regression). This involved implementing predictive analytics for critical processes, developing a data warehouse for storing large amount of data on SQL Server.

-Engineered a state-of-the-art Resume Recommendation System aligning HR processes with deep learning technologies (NLP, AI). The system effectively matched candidate profiles with job descriptions, enhancing recruitment efficiency.

-Automated the data collection process for database servers, resulting in streamlined operations and improved data accuracy. This initiative showcased a commitment to efficiency and technological innovation (Data Engineering).

-Led the digitalization initiative by introducing Power BI and transitioning from Excel to SQL Server data warehouse. This initiative empowered the company with advanced data analytics capabilities, fostering data-driven decision-making (Data Analysis, Data Warehouse Engineering).

-Successfully upgraded SQL Server instances to the latest version, ensuring optimal performance and security. Managed multiple database migration projects both on-premise and to Azure platform, ensuring seamless transitions without compromising data integrity (Database Engineering).

-Mentored new team members and students, contributing to their professional growth. Played a key role in fostering a collaborative and knowledge-sharing environment within the team.

-Conducted Microsoft’s Risk Assessment Program within the company, actively addressing potential security risks and ensuring adherence to industry best practices. Demonstrated a commitment to maintaining robust system security.

Postgraduate Student (Masters) at University of Glasgow, Scotland, United Kingdom, 2019 – 2020

Courses:

- Research and Professional skills.

- Machine Learning

- Deep Learning

- Artificial Intelligence (Reinforcement Learning)

- Big Data (Hadoop ecosystem)

- Natural Language Processing

- Recommender Systems (Diploma Project)

Diploma Project:

-"Evaluating sequential recommenders using both offline and online interaction simulators"

Database Administrator at KPO нужен доступ к резюме (Joint Chevron, ENI, BG, Shell, Lukoil), нужен доступ к резюме

Key responsibilities:

- Installation, configuration, upgrade, and migration

- Backup and recovery strategy

- Storage and capacity planning

- Performance monitoring and tuning

- High availability & Disaster Recovery

IT Systems Engineer at “Kazakhtelecom” JSC, нужен доступ к резюме

Infrastructure Management: Implemented, and maintained robust and scalable IT infrastructures using Windows Server and Linux/Unix, VMware.

Technical Support and Troubleshooting: Provided timely technical support for hardware, software, and network-related issues, ensuring minimal downtime.

Network Administration: Managed and optimized TCP/IP, DNS, and DHCP configurations to maintain a stable and secure network environment. Implemented and maintained firewalls, antivirus software, and intrusion detection systems to enhance overall network security.

Backup and Disaster Recovery: Implemented and maintained backup and disaster recovery solutions on database systems (Oracle, MSSQL) to safeguard critical data and ensure business continuity.

Software Engineer Intern at “Kazkommertsbank” JSC, Almaty, Kazakhstan, нужен доступ к резюме June

Resposibilities:

- Collaborated with the development team to design, develop, and maintain JavaScript-based reporting solutions for the Bank.

- Implemented interactive and user-friendly features to enhance the bank's reporting systems, contributing to improved data visualization.

- Integrated data from Oracle databases into JavaScript reporting solutions, ensuring seamless data retrieval and display.

- Conducted thorough testing and debugging of JavaScript code to ensure the reliability and accuracy of reporting solutions.

- Documented code, processes, and best practices, facilitating knowledge transfer within the team.