Big Data and Machine Learning Pipeline @ Tink

• 17:30 Doors opening

• 17:45 Tink Short Introduction by Fredrik Hedberg, CTO @ Tink

• 17:50 Optimize Your Data Pipeline without Rewriting it by Magnus Runesson

• 18:30 Break with food and drinks

• 19:00 Machine Learning Pipeline and How it Works at Tink by Andrew Wu

• 19:40 More drinks and a chance to ask questions

• 20:30 Doors closing

## Optimize your Data Pipeline without Rewriting by Magnus Runesson

It is not fast enough! That is one of the more common responses to a data engineer when putting a data pipeline in production. It is easy to dig down into the code and try to optimize it. My experience as a data engineer shows me that it is often easier and more efficient, both in time spent and outcome, to focus on a more holistic view of the pipeline.
In this talk, we will look at a structured process to optimize our batch pipelines. We will introduce steps that make our process data-driven instead of a gut feeling. With examples from real-world cases where delivery time was reduced in order by magnitude, we will look on actions where taken.

Magnus Runesson is Senior Data Engineer at Tink responsible for architect, develop and operate their data environment. He has a Master of Science and Engineering from Linköping University, Sweden. Magnus has a long experience to develop and operate distributed systems with high requirements on availability, performance, and integrity from organizations such as Spotify, Svenska Spel, and the Swedish weather service.

## Machine Learning Pipeline and How it Works at Tink by Andrew Wu

Chances are your company will adopt machine learning soon. If you are working for a tech company, you likely have algorithms running in production already.
In this talk, we are going to paint a eutopia of machine learning end to end for a data-sensitive environment, and a demo at the end of it showing a blueprint you can take away.

Andrew Wu, ML Tech Lead at Tink, previously served H&MxAI, ThinkBig Analytics, Eniro... Graduated from SEDS KTH Sweden, now a "Full-stack" buzzword compliant backend engineer. Experience ranging from springboot to tensorflow.