Data Engineering Developer in Prague, Czech Republic

I am currently a member of an R&D team responsible for researching cutting-edge ML technologies applied to the network security problem domain. The team also collects and documents global threat intelligence and maintains a cloud-based SIEM and UEBA solution that processes hundreds of terabytes of data daily.

I was hired by a Toptal client to assist in the design and development of a SaaS application, which aimed at protecting digital artists against copyright infringement. My main responsibilities were designing and implementing the cloud infrastructure, back-end services, and pipelines to synchronize the photos and videos from cloud storage providers and scan the internet for their occurrences, allowing the artists to identify infringers and take legal action. I also had to integrate the system with a payment gateway and design the subscription models, REST API, and core UI components.

A Toptal client approached me with a simple data migration problem. However, it turned out that the client was considering a data warehousing solution and an analytics platform. I ended up building a cloud-based, scalable ETL system for processing reporting event streams from email marketing. My responsibilities later pivoted to developing several aggregation jobs and dashboards for marketing campaign managers. It was the most amazing thing that I have ever single-handedly built for quite some time.

While working for the world’s third-largest derivatives exchange, I joined a boring (at first sight) enterprise effort to modernize its old and rusty monolithic mainframe system into a service-oriented architecture. I have experienced firsthand all the pleasantries of taking apart an archaic codebase and building microservices while retaining the German quality of a banking application with no tolerance for the slightest mistake. I have learned a great deal about finance, quality assurance, and on-call support.

I have led a team of software developers and QA engineers maintaining the services supporting Cisco's AVC engine. The services included a network traffic data warehousing solution, tools for compiling and validating the engine's signatures, testing their efficacy, and finally publishing the updated signature bundle to thousands of devices that had AVC engine installed. The project spans three cities and two time zones.