Bogdan Sapovskyi
Python Developer @Bridgewise
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WORK HISTORY
Python Developer @Bridgewise
Bridgewise is a technological research company that leverages proprietary AI to generate analysis of more than 90% of global securities, in any language.Today, the vast majority of global equities aren’t covered by any financial institution, leaving a fundamental gap in information. Bridgewise aims to close this gap, increasing investor knowledge and helping to unveil hidden investment opportunities for investors around the world.Bridgewise’s innovative AI-driven content solutions are trusted by leading financial institutions including exchanges, trading platforms, investment houses, financial advisors, and financial media & education platforms
EDUCATION
Kharkiv National University of Radio Electronics
Bachelor's degree, Computer Software Engineering
National University "Odessa Law Academy"
Master of Laws - LLM, Law
ABOUT BOGDAN SAPOVSKYI
With over 5 years of experience engineering high-performance applications, I specialise in transforming complex business needs into robust, scalable solutions using Python, cloud technologies, and advanced data analytics. My passion lies in designing and implementing sustainable coding practices that drive efficiency and innovation.As a Software Engineer at Quantum Inc, I\'ve led the development of critical fintech projects, from enhancing stock recommendation services with interactive Grafana dashboards to pioneering a Kubernetes service for risk assessment in banking. A key achievement was the overhaul of an ETL process, which significantly improved data processing efficiency and accuracy.My expertise is centred on system design and cloud architecture, with extensive experience in:Backend Development: Python, Django, Django REST Framework, FastAPI.Cloud Platforms: Azure and AWS, including deploying and managing applications. I am a GCP, Azure and AWS Certified: Solutions Architect Expert.Data Engineering: Optimising business document processing with Pandas, managing data from Azure Blob Storage, and processing messages from Azure Service Bus.Big Data: Wrangling terabytes of data with PySpark using different orchestration approaches (AWS Glue workflows, AWS Step Functions workflows, Apache Airflow Dags)DevOps & Automation: Infrastructure as Code with Terraform, containerization with Docker and Kubernetes, and CI/CD with Jenkins. Additional experience with AWS Code Pipelines, Azure DevOps PipelinesI am always looking to connect with professionals in diverse fields of expertise.Feel free to connect with me.
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