Senior data engineer (scala, kinesis, airflow)

Profile Summary Senior engineer with strong experience building modern data platforms across AWS, Microsoft Azure, or Google Cloud Platform (GCP), while integrating AI capabilities into real business processes. Experienced in developing scalable data pipelines, real-time processing solutions, analytics environments, and cloud-native architectures that support advanced analytics, machine learning, and generative AI initiatives.
Focused on practical, scalable, and business-oriented solutions with emphasis on data quality, automation, and operational efficiency.

Key Capabilities
Data Engineering
Cloud-native data architectures (AWS / Azure / GCP), ETL/ELT pipelines, data modeling, API and database integration, workflow orchestration (Airflow), batch and real-time processing.
AI & Machine Learning
Model development and deployment, feature engineering, MLOps fundamentals, predictive analytics, AI integration within data ecosystems, cloud AI services and frameworks...