Data Quality and Observability at Tekmetric with Ipsa Trivedi episode artwork

EPISODE · May 1, 2025 · 22 MIN

Data Quality and Observability at Tekmetric with Ipsa Trivedi

from The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI · host Astronomer

Airflow’s adaptability is driving Tekmetric’s ability to unify complex data workflows, deliver accurate insights and support both internal operations and customer-facing services — all within a rapidly growing startup environment.In this episode, Ipsa Trivedi, Lead Data Engineer at Tekmetric, shares how her team is standardizing pipelines while supporting unique customer needs. She explains how Airflow enables end-to-end data services, simplifies orchestration across varied sources and supports scalable customization. Ipsa also highlights early wins with Airflow, its intuitive UI and the team's roadmap toward data quality, observability and a future self-serve data platform.Key Takeaways:(02:26) Powering auto shops nationwide with a unified platform.(05:17) A new data team was formed to centralize and scale insights.(07:23) Flexible, open source and made to fit — Airflow wins.(10:42) Pipelines handle anything from email to AWS.(12:15) Custom DAGs fit every team’s unique needs.(17:01) Data quality checks are built into the plan.(18:17) Self-serve data mesh is the end goal.(19:59) Airflow now fits so well, there's nothing left on the wishlist.Resources Mentioned:Ipsa Trivedihttps://www.linkedin.com/in/ipsatrivedi/Tekmetric | LinkedInhttps://www.linkedin.com/company/tekmetric/Tekmetric | Websitehttps://www.tekmetric.com/Apache Airflowhttps://airflow.apache.org/AWS RDShttps://aws.amazon.com/free/database/?trk=fc551e06-56b0-418c-9ddd-5c9dba18569b&sc_channel=ps&ef_id=CjwKCAjwzMi_BhACEiwAX4YZULS4jV2Xpnpcac_Q3eS9BAg-klKUDyCt6XSdOul8BLHkmWzFFh4NXRoCGhQQAvD_BwE:G:s&s_kwcid=AL!4422!3!548989592596!e!!g!!amazon%20sql%20database!11543056228!112002958549&gclid=CjwKCAjwzMi_BhACEiwAX4YZULS4jV2Xpnpcac_Q3eS9BAg-klKUDyCt6XSdOul8BLHkmWzFFh4NXRoCGhQQAvD_BwEAstro by Astronomerhttps://www.astronomer.io/product/https://www.astronomer.io/events/roadshow/london/   https://www.astronomer.io/events/roadshow/new-york/   https://www.astronomer.io/events/roadshow/sydney/   https://www.astronomer.io/events/roadshow/san-francisco/   https://www.astronomer.io/events/roadshow/chicago/ Thanks for listening to “The Data Flowcast: Mastering Apache Airflow® for Data Engineering and AI.” If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. And be sure to subscribe so you never miss any of the insightful conversations.#AI #Automation #Airflow #MachineLearning

Airflow’s adaptability is driving Tekmetric’s ability to unify complex data workflows, deliver accurate insights and support both internal operations and customer-facing services — all within a rapidly growing startup environment.In this episode, Ipsa Trivedi, Lead Data Engineer at Tekmetric, shares how her team is standardizing pipelines while supporting unique customer needs. She explains how Airflow enables end-to-end data services, simplifies orchestration across varied sources and supports scalable customization. Ipsa also highlights early wins with Airflow, its intuitive UI and the team's roadmap toward data quality, observability and a future self-serve data platform.Key Takeaways:(02:26) Powering auto shops nationwide with a unified platform.(05:17) A new data team was formed to centralize and scale insights.(07:23) Flexible, open source and made to fit — Airflow wins.(10:42) Pipelines handle anything from email to AWS.(12:15) Custom DAGs fit every team’s unique needs.(17:01) Data quality checks are built into the plan.(18:17) Self-serve data mesh is the end goal.(19:59) Airflow now fits so well, there's nothing left on the wishlist.Resources Mentioned:Ipsa Trivedihttps://www.linkedin.com/in/ipsatrivedi/Tekmetric | LinkedInhttps://www.linkedin.com/company/tekmetric/Tekmetric | Websitehttps://www.tekmetric.com/Apache Airflowhttps://airflow.apache.org/AWS RDShttps://aws.amazon.com/free/database/?trk=fc551e06-56b0-418c-9ddd-5c9dba18569b&sc_channel=ps&ef_id=CjwKCAjwzMi_BhACEiwAX4YZULS4jV2Xpnpcac_Q3eS9BAg-klKUDyCt6XSdOul8BLHkmWzFFh4NXRoCGhQQAvD_BwE:G:s&s_kwcid=AL!4422!3!548989592596!e!!g!!amazon%20sql%20database!11543056228!112002958549&gclid=CjwKCAjwzMi_BhACEiwAX4YZULS4jV2Xpnpcac_Q3eS9BAg-klKUDyCt6XSdOul8BLHkmWzFFh4NXRoCGhQQAvD_BwEAstro by Astronomerhttps://www.astronomer.io/product/https://www.astronomer.io/events/roadshow/london/   https://www.astronomer.io/events/roadshow/new-york/   https://www.astronomer.io/events/roadshow/sydney/   https://www.astronomer.io/events/roadshow/san-francisco/   https://www.astronomer.io/events/roadshow/chicago/ Thanks for listening to “The Data Flowcast: Mastering Apache Airflow® for Data Engineering and AI.” If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. And be sure to subscribe so you never miss any of the insightful conversations.#AI #Automation #Airflow #MachineLearning

NOW PLAYING

Data Quality and Observability at Tekmetric with Ipsa Trivedi

0:00 22:49

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

Frequently Asked Questions

How long is this episode of The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI?

This episode is 22 minutes long.

When was this The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI episode published?

This episode was published on May 1, 2025.

What is this episode about?

Airflow’s adaptability is driving Tekmetric’s ability to unify complex data workflows, deliver accurate insights and support both internal operations and customer-facing services — all within a rapidly growing startup environment.In this episode,...

Can I download this The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.
URL copied to clipboard!