Munavir Khannanov, Developer in Almaty, Almaty Region, Kazakhstan
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Munavir Khannanov

Verified Expert  in Engineering

Database Engineer and Developer

Location
Almaty, Almaty Region, Kazakhstan
Toptal Member Since
August 17, 2023

Munavir is a senior data engineer with over a decade of experience in ETL development and data engineering, developing well-architected and easily maintainable solutions. He worked in some of the largest companies in the banking industry and streaming media services in Eastern Europe. Munavir specializes in big data stack, including SQL, Scala, Spark, databases, and data warehouses. He brings proficiency, responsibility, and a business-oriented approach to his work.

Portfolio

Uma.Tech
SQL, Data Warehousing, Spark, Scala, Python, ClickHouse, Big Data, Kubernetes...
Sberbank
SQL, Data Warehousing, Teradata, Hadoop, Big Data, Python, ETL, Spark...
Unicredit Bank
SAS Data Integration (DI) Studio, SQL, Data Warehousing, ETL, Oracle...

Experience

Availability

Part-time

Preferred Environment

MacOS, IntelliJ IDEA, PyCharm, DBeaver

The most amazing...

...thing I've developed is an ETL framework that uses Spark and Scala, making pipeline development and the whole ETL maintenance faster and more convenient.

Work Experience

Senior Data Engineer

2020 - 2022
Uma.Tech
  • Designed and implemented Scala ETL framework based on Spark which improved development and maintenance of data pipelines.
  • Designed and implemented a data warehouse for BI and ML purposes using ClickHouse as a storage.
  • Developed data pipelines using Scala that load and transform data from more than 30 corporate sources, including SQL, NoSQL, API, and more.
  • Developed and implemented a CI/CD process in GitLab.
  • Developed data pipelines using a framework based on Python and Django.
Technologies: SQL, Data Warehousing, Spark, Scala, Python, ClickHouse, Big Data, Kubernetes, Docker, GitLab, Django, Data Warehouse Design, Data Architecture, Data Engineering, Data Pipelines

Data Engineer

2016 - 2020
Sberbank
  • Worked as an ETL developer on data marts and a corporate data warehouse using Teradata and Informatica.
  • Collaborated with business users and analytics on data marts, provided L3 support, and analyzed and fixed business logic and technical implementation defects.
  • Worked closely with analytics and source data owners to implement data replication processes from source systems into the Hadoop data lake.
  • Optimized the storage of data in Teradata and ETL procedures. This increased data loading and querying speed and led to more efficient use of hardware resources.
Technologies: SQL, Data Warehousing, Teradata, Hadoop, Big Data, Python, ETL, Spark, Informatica ETL, Data Engineering

Senior ETL Developer

2014 - 2016
Unicredit Bank
  • Worked closely with analytics and business users developing ETL jobs (SAS DI) to consolidate data into a corporate data warehouse (Oracle).
  • Collaborated with business users and analysts on data marts, provided L3 support, and analyzed and fixed business logic and technical implementation defects.
  • Developed custom SAS Base programs for ETL jobs implementing necessary transformations.
Technologies: SAS Data Integration (DI) Studio, SQL, Data Warehousing, ETL, Oracle, Data Engineering

ETL Framework for a Video Streaming Platform

A Scala-based ETL framework for loading data to a user profile warehouse using Apache Spark. I designed and implemented the framework that made maintaining data pipeline development more straightforward.
2005 - 2012

Master's Degree in Design and Technology of Electronic Equipment

Bauman Moscow State Technical University - Moscow, Russia

MAY 2023 - MAY 2026

AWS Certified Cloud Practitioner

AWS

Tools

IntelliJ IDEA, PyCharm, GitLab, Informatica ETL, SAS Data Integration (DI) Studio

Paradigms

ETL

Languages

SQL, Scala, Python

Frameworks

Spark, Hadoop, Django

Storage

Teradata, Data Pipelines, DBeaver, ClickHouse

Platforms

MacOS, Docker, Kubernetes, Oracle, Amazon Web Services (AWS)

Other

Data Warehousing, Data Engineering, Big Data, Data Warehouse Design, Data Architecture, Engineering

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