Summary
Agnese Kapnere is a data engineer with eight years of hands-on experience building data pipelines, middleware and data science tooling across AWS and GCP. She combines strong programming skills in Java, Python, Rust and SQL with practical experience in Kafka, Airflow, Hadoop and cloud-native services to deliver reliable ETL and analytics solutions. Her background spans data engineering, machine learning engineering and middleware work at IG, where she rotated through roles from APIs and Lambda functions to Kafka-driven streaming and observability stacks. Trained in mathematics and psychology, she brings analytical rigor plus a mindful, user-oriented perspective to problem solving and system design. Early-career roles in travel operations and training cultivated her attention to process efficiency and cross-cultural collaboration, a less obvious but valuable asset she applies to team workflows and documentation.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at Latvijas Universitate
Certificate of Higher Education, Psychology, Certificate of Higher Education, Psychology at Birkbeck, University of London
Latvian, English, Russian