Mussakhan Zhumabay

@MusaConnected with DSML

Data engineer / Data analytics

I'm a Data Engineer in the fintech sector, specializing in building scalable ETL pipelines, DWH architecture, and Apache Airflow.

About

Alongside data engineering, I have a strong academic background in Applied Mathematics. My core ML interests lie in Time Series Anomaly Detection and deep learning models like LSTMs and Transformers. Always open to discussing data architecture and connecting with fellow professionals!

Career

Experience: 3 years

Experience

Data Engineer

AO ForteBank

A commercial bank in Kazakhstan.

Apr 2024 — Present

Built and maintained Airflow ETL pipelines processing up to 50 GB daily, designed data marts in a 10+ TB warehouse, and handled data quality, access, and deployment practices.

• Developed and maintained Apache Airflow pipelines (Python, SQL) to integrate data from disparate banking systems into a unified warehouse, processing up to 50 GB per day. • Designed analytical data marts in a DWH (Greenplum/Oracle; total volume over 10 TB). Optimized complex SQL queries to speed up data delivery. • Configured data access for business units, implemented automated data quality (DQ) checks, and maintained technical documentation (Data Dictionary). • Used Git for version control, packaged ETL processes in Docker, and worked with CI/CD tools to ensure reliable pipeline operation.

Education

Bachelor's degree, Applied Mathematics and Computer Science

Lomonosov Moscow State University

2020 — 2024

Master's degree, Applied Mathematics and Computer Science

Lomonosov Moscow State University

2024 — 2026

Skills

PostgreSQLGreenplumOracleSQL query optimizationData mart designRelational database architectureApache AirflowPipeline managementCustom DAGsInformatica PowerCenterData qualityData governancePythonPandasNumPyGitDockerCI/CD fundamentalsLinuxTime-series processing