Position: Data Engineer
Category: Data Engineer
English level: fluent
Years of experience: 4


I have 4 years of experience in data science and data engineering. I worked in Playrix as Data Engineer and in KazDream Technology as NLP & Data Engineer. In NLP sphere I improved products and build bilingual speech recognition system by using NeMo, Kaldi, Wav2Letter and DeepSpeech. As data engineer my duties included data mining from various web resources, data cleaning, controlling the flow to databases and other ETL tasks

NLP project was developed by our team from the scratch and further it was developed to AI startup - SpeechLab. We controlled all stages of machine learning models deployment, starting from data collection and ending model’s performance optimization in order to achieve fast inference and state of the art accuracy in kazak/russian ASR sphere. During the development of this system there were some branched projects such as Speaker Identification/Verification and Gender/Age recognition.

Data Engineering experience was mainly focused on ETL pipelines, analysis of social networks and terabytes of data. For building reliable pipelines with easy debugging I worked with Luigi, CloudWatch and Redshift. Moreover, I used multiprocessing in order to speed up the data collection process and RabbitMQ for synchronizing those processes. For data visualization we used PowerBI that connected to periodically updating tables.