Summary
Konstantinos Athinaios is a Data Engineer with nine years of experience building scalable, cloud-native data pipelines and analytics solutions across finance and enterprise domains. He has implemented and optimized ETL workflows in Azure and orchestrated DAG-based ingestion for financial time-series, improving feature computation and introducing real-time alerting via custom Slack automation. At PwC he combined infrastructure-as-code with user-facing tools—a Plotly Dash UI—to make deployments and financial reporting more auditable and configurable. He has practical experience detecting and mitigating data bias using fairness metrics and deploying pre-/in-/post-processing methods to improve ML feature quality. Based in Attica, Greece, Konstantinos pairs strong engineering discipline with a background in teaching STEM subjects, which informs his clear communication of complex data issues. Currently at Bespot, he focuses on delivering cost-effective, high-performance data systems that turn noisy data into actionable business insight.
9 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Science, 8.18/10, Bachelor's degree, Computer Science, 8.18/10 at Ethnikon kai Kapodistriakon Panepistimion Athinon
English, French, Greek