Uploaded May 2025 | Updated September 2026, 2 weeks ago
At the 10th Data Innovation Summit 2025, we sat down with Kausthub Poondi, Senior Data Platform Engineer at Strava, following his session, “Data Tools that Empower: How Better Tooling Helps Strava Engineers Reach Their PB!” In his talk, Kausthub outlined three core principles for building effective data tools: use what you create, keep it simple, and prioritize self-service. He shared how these principles shape Strava’s internal data platform, making it easier for engineers to work efficiently. Kausthub also spoke about one challenge in data tooling: adoption. His advice? Engage with stakeholders and build incrementally.
Follow us on:
⬗ LinkedIn: linkedin.com/showcase/the-data-innovation-summit
⬗ Twitter: twitter.com/DISummit2030
⬗ Facebook: facebook.com/DataInnovationSummit
⬗ Instagram: instagram.com/hyperight_ab
⬗ Hashtags: #DISummit2030
At the 10th Data Innovation Summit 2025, we sat down with Kausthub Poondi, Senior Data Platform Engineer at Strava, following his session, “Data Tools that Empower: How Better Tooling Helps Strava Engineers Reach Their PB!” In his talk, Kausthub outlined three core principles for building effective data tools: use what you create, keep it simple, and prioritize self-service. He shared how these principles shape Strava’s internal data platform, making it easier for engineers to work efficiently. Kausthub also spoke about one challenge in data tooling: adoption. His advice? Engage with stakeholders and build incrementally.
Follow us on:
⬗ LinkedIn: linkedin.com/showcase/the-data-innovation-summit
⬗ Twitter: twitter.com/DISummit2030
⬗ Facebook: facebook.com/DataInnovationSummit
⬗ Instagram: instagram.com/hyperight_ab
⬗ Hashtags: #DISummit2030
