Aytan Mammadova
Data Engineer & AI Researcher with strong focus on ETL systems, Airflow orchestration, and applied NLP.
About
Data Engineer & AI Researcher with strong focus on ETL systems, Airflow orchestration, and applied NLP.
Experienced in full-scale production data migrations, pipeline refactoring, SQL optimization, and LLM data engineering.
Background in tokenizer optimization, NER pipelines, embeddings, and Azerbaijani language processing.
Founder & mentor of AzUAC AI Club. Hackathon winner. Lifelong system refactorer 🛠️
- 3 years' experience
- Joined January 2026
Skills· 20
Languages
- AzerbaijaniFluent
- EnglishAdvanced
- TurkishAdvanced
- GermanBeginner
Industry experience
- Software & Internet
- Computers & Electronics
- Education
Work experience· 4 roles
Executed the full data migration for a new operational term. Transformed and refactored the ETL system in Apache Airflow. Monitored and troubleshooted pipeline failures. Wrote efficient SQL queries and Python scripts. Documented data flows, pipeline logic, and data sources. Collaborated with analysts and business teams to support data-driven decisions.
Optimized tokenizer usage for LLMs. Cleaned and prepared data for LLMs. Performed literature review and implemented papers. Trained and evaluated various models for better embeddings.
Implemented research papers on deep learning models. Created scripts for collecting data from different sources. Cleaned and collected data for a Name Entity Recognition project. Analyzed various data for spell correction for Azerbaijani AI projects.
Education
Certifications and awards
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