Position: Lead Data Engineer
Category: Data Engineer
English level: fluent
Years of experience: 7


I am a Lead Data Engineer with a strong background in building and optimizing data infrastructure for e-commerce start-ups. With over 7 of experience in the field, I have a proven track record of driving data availability, observability, and efficiency while controlling cloud infrastructure costs. 

In my current role at Accel Club, I have successfully improved the existing data infrastructure by migrating from an external vendor's solution to an in-house made one. This transition has not only increased transparency and reliability but also reduced development time and costs. Additionally, I have focused on enhancing local development and deployment transparency by implementing a CI/CD flow from scratch, leading to improved efficiency and collaboration within the team.

Previously, at Cian, I contributed to the support and improvement of data flows on an on-premise Hadoop cluster. I successfully migrated mass ETL jobs from Hive to Spark, optimizing data processing and leveraging SparkSQL. Furthermore, I developed templated Kafka and custom API ETL jobs, facilitating data integration and supporting the Data Science team in achieving their objectives.

During my tenure at Innotech, I played a vital role in developing business data marts and automating reporting processes for one of the largest banks in Russia. I utilized Hadoop, Spark, and Hive to handle large-scale data processing and analysis. Furthermore, I gained expertise in business and system analysis, providing valuable insights for future development.

At MERLION, I conceptualized and built a Data Vault Enterprise Data Warehouse (EDW) from scratch. I ensured adherence to development guidelines and standards while also mentoring junior data engineers. Additionally, I contributed to the implementation of Apache Airflow for workflow management and utilized Vertica for high-performance data storage and retrieval.

Throughout my career, I have gained expertise in a range of technologies, including Google Cloud Platform, Python, Git, Docker, and SQL. I am skilled in data warehouse architecture, cloud computing, DataOps, and DevOps methodologies. Furthermore, I possess strong proficiency in tools such as Apache Airflow, Apache Spark, Apache Kafka, Grafana, Redis, and Luigi.

Feel free to connect with me to explore opportunities in the field of data engineering, cloud computing, or related domains.