Dev-Productivity with AI & Flink's Data Platform | Data Engineering Meetup
Event PAST

Dev-Productivity with AI & Flink's Data Platform | Data Engineering Meetup

24 September Online

About this event

Its time again!
The days slowly start to get shorter again and the wind picks up, so lets get cozy together with our two presenters at our next Berlin Meetup.

Anil Kumar Kanasani: Enhancing Developer Productivity Through AI Assistants

This session explores how development teams can improve productivity by effectively leveraging AI assistants. Using real experiences from our team, we will discuss our business context, team structure, current collaboration challenges, and practical solutions that enable knowledge sharing between team members, provide greater visibility into other areas of product development, and help engineers deliver greater business value.

Pawel Wiszniewski: Behind Every Great Dashboard…

The Data Analytical Platform is a core part of our Data Platform at Flink, enabling analysts across the company to transform data and build reports and dashboards that drive business decisions.
But making all of this simple for analysts requires quite a bit of work behind the scenes. Reliability, ease of use, and flexibility were our main goals when designing the platform. In this presentation, I’ll take you behind the dashboards and show how the platform works from both perspectives: the analysts using it and the Data Platform engineers building and running it.

✧ ✧ ✧
What to expect:

  • Two expert talks and Q&A
  • Networking opportunities in our great Creator Space
  • Some snacks & drinks to fuel your thoughts : )

✧ ✧ ✧
Timetable:

  • 18:30 - Event admission
  • 18:50 - Welcome & Introduction
  • 19:00 - Anil Kumar Kanasani: Enhancing Developer Productivity Through AI Assistants
  • 19:30 - 5 minutes break
  • 19:35 - Pawel Wiszniewski: Behind Every Great Dashboard…
  • 20:05 - Snacks, Drinks & Networking
  • 21:30 - End

✧ ✧ ✧
More on the -> applydata data engineering meetup page.
Our goal is to form a local data-loving community, so join us and let's talk data together!
✧ ✧ ✧

At the event, sound, image and video recordings are created and published for documentation purposes as well as for the presentation of the event in publicly accessible media, on websites and blogs and for presentation on social media. By participating the event, the participant implicitly consents to the aforementioned photo and/or video recordings. Find more information on data protection here.

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 DevFound.ai. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.