Namazbek Bekzhanov

Worked as Middle Data Engineer at Digital Development Center.

– Design and implement robust data ingestion pipelines and ETL/ELT processes using Apache Airflow, streamlining
enterprise-wide data flow.
– Optimized critical stored procedures and complex SQL workflows, reducing execution time by∼78% (from 9 min to 2 min),
significantly accelerating daily financial reporting.
– Architect high-performance MS SQL Data Warehouses, utilizing complex T-SQL triggers a

- Assisted professor in lectures and labs on Cloud Application Development.
- Helped students work with Google Cloud Platform (GCP) and Docker.
- Guided projects on App Engine, Cloud Functions, and Cloud SQL.
- Reviewed assignments and supported cloud deployment tasks.
- Assisted in developing course materials and ensuring alignment with industry standards in cloud architecture, serverless c

- Designed and optimized Oracle SQL/PLSQL for core banking systems.
- Built automated ETL pipelines for real-time data processing and Power BI dashboards.
- Created SQL scripts to resolve data bottlenecks, boosting system performance.
- Oversaw development workflows and documentation via Jira and Confluence.
- Enhanced backend processes for data integration and processing efficiency.

- Proficient in advanced SQL for complex data manipulation and analysis.
- Skilled in designing and implementing data models and architectures in practical applications.
- Experienced with databases, data warehouses, data lakes, and their roles in modern data ecosystems.
- Strong understanding of big data principles, Hadoop tools, and ETL/ELT workflows.
- Adept at creating impactful data v

- Collaborated with the team to collect and annotate data using LabelImg.
- Developed and trained YOLO models for object detection, enhancing accuracy and efficiency.
- Processed data and optimized model performance using PyTorch and Scikit-learn.
- Evaluated model performance with metrics, improving classification speed for computer vision projects.

- Developed and optimized PL/SQL procedures to improve database performance and efficiency.
- Administered Oracle Databases, ensuring robust data security, integrity, and availability.
- Gathered and analyzed requirements for databases and data warehouses to meet business needs.
- Optimized SQL queries to enhance execution speed and overall system performance.

- Developed and optimized SQL queries to enhance data retrieval and reporting efficiency.
- Maintained database integrity and ensured optimal performance.
- Collaborated with cross-functional teams to support data-driven decision-making.

Apr 2026

Mar 2026

Apr 2026

Focused on Information Systems, Software Engineering, Databases, and Computer Networks.
Explored Big Data, Blockchain, Web Development (Front-end & Back-end), and Linux Administration.
Practical experience as a Teaching Assistant for Introduction to Machine Learning.
Built strong foundations in Algorithms, Probability & Statistics, and Data Engineering concepts.

Focused on Big Data, Machine Learning, AI, Data Engineering & Analytics, and Software Engineering.
Building strong expertise in Python, ML libraries, and data-driven intelligent systems.

Sep 2025 · Expired Oct 2025

Feb 2024

Feb 2024

Sep 2024 · Expired Oct 2024

Oct 2024 · Expired May 2025

Nov 2023

Oct 2023