A journey towards DataOps in a Pharma context

Get to know the challenges in working in a data-centric manner and adopting the DataOps mindset in a Pharmaceutical company like Leo Pharma. See how the intersection between methodology, internal requirements and tech on the market lead us to the solutions we are implementing.

• the main challenges in Pharma regarding data are that it is scattered, lacks ownership and is hard to find
• the tech stack chosen needs to support users with skillsets that range from tech- fluent to tech-savvy
•  Cloud services and SaaS products do the heavy lifting, while in-house automation scripts and reusable components serve as a facade

————————————————————————————————————————————————————

Alexander Zafirov – Lead Data Engineer | Leo Pharma

A software engineer with experience across various industries and organization sizes at varied stages of growth. My journey starts as an engineer working on core software components – most notably at the social media management platform Falcon IO. Eventually, I transitioned into the data space, building processing pipelines for data products with different specifications and constraints at leading provider of airfare data – Infare. Currently, I am the Lead Data Engineer at Leo Pharma’s R&D, Data & Analytics unit. My work focuses on enabling the digital journey of the company – assembling the right technology stac that caters for all the different needs across the organization, documenting standards for data operations and implementing processing pipelines that power data products.