Valentyn D.

Designed and maintained a large-scale financial data platform for ETF analytics, integrating Airflow pipelines that process around 10 TB of data weekly. Implemented automated lifecycle management for AWS S3 using Terraform, resulting in approximately $20,000 annual savings on storage costs. Developed daily ETL processes ingesting company reports, generating embeddings, and indexing them within a vector database, orchestrated with Apache Airflow on AWS EC2 and SageMaker. Modernized CI/CD processes using GitHub Actions and Bamboo, reducing release preparation time by ~5%. Implemented and productionized data models using Airflow DAGs and Python microservices on AWS for probabilistic scoring services. Maintained and optimized ETL infrastructure to ensure stability and scalability under variable data loads.

Led the design and delivery of a digital onboarding platform (Flask/FastAPI, React, AWS, Kubernetes), improving user onboarding speed by ~3 times. Managed a team of three engineers, conducting one-to-one meetings, defining sprint goals, and performing code reviews. Integrated automated KYC/AML pipelines using FastAPI and Kafka, aggregating data to accelerate compliance processes. Implemented DocuSign-based e-signature workflows with Python/FastAPI and SQLAlchemy, increasing customer conversion by ~20%. Introduced a documented microservices architecture (Draw.io), reducing the development cycle by 15%.