Dominykas Mickevičius

Diligent, ambitious and highly motivated software engineer with experience in cloud computing, API development, data platforms and serverless architectures. I am interested in performant and efficient back-end and cloud solutions, have solid problem-solving skills and knowledge of software engineering best principles and practices. Open-minded, innovative, quick learner, driven to deliver my best performance at all times.

Software Engineer at T. Rowe Price (2024-04 – Present)

Security reference data / Analytics & Data Platforms

• Designed and implemented an event-driven Dremio reflection management and consumer notification service that automatically refreshed reflections on successful data ingestion events and dispatched intraday and end-of-day data-availability notifications to downstream consumers. This eliminated stale-data queries and enabled business teams to act on refreshed datasets within minutes of ingestion rather than hours.
• Co-developed a Python-based internal REST API that exposed CRUD operations over investment reference data and orchestrated ingestion workflows. This made Data Ops team day-to-day tasks more efficient and allowed them to deal with consumer requests 50% quicker.

Associate Software Engineer at T. Rowe Price (2021-08 – 2024-04)

Security reference data / Analytics & Data Platforms

• Worked on decommissioning a legacy data storage and provider system by implementing a new SSOT system's data ingestion pipelines in python for security reference, financial index and analytic data. The migration expanded domain coverage, introduced validation and reconciliation at the ingestion layer, and improved data quality and consistency for downstream consumers across the firm.
• Extended firm's security reference data REST and gRPC Java APIs to support additional data domains and resolved a backlog of production defects, improving response latency and reliability for internal consuming applications and reducing the volume of data-related support tickets routed to the team.
• Refactored and enhanced the Option Greeks data SSOT system by making changes to the existing AWS lambdas to allow a more streamlined interaction with Bloomberg's MARS API, and implementing automated checks to prevent data duplication and deal with data gaps via requests to internal APIs. This resulted in reductions of 48% Options Greeks and 74% SWAP UDIs data issues.

BSc Computer Science in Computer Science – Newcastle University, School of Computing (2018 – 2021)