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Data Quality and Observability at Tekmetric with Ipsa Trivedi
Manage episode 480014257 series 2053958
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:
https://www.linkedin.com/in/ipsatrivedi/
Tekmetric | LinkedIn
https://www.linkedin.com/company/tekmetric/
Tekmetric | Website
https://www.tekmetric.com/
https://airflow.apache.org/
https://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_BwE
https://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
73 에피소드
Data Quality and Observability at Tekmetric with Ipsa Trivedi
The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI
Manage episode 480014257 series 2053958
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:
https://www.linkedin.com/in/ipsatrivedi/
Tekmetric | LinkedIn
https://www.linkedin.com/company/tekmetric/
Tekmetric | Website
https://www.tekmetric.com/
https://airflow.apache.org/
https://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_BwE
https://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
73 에피소드
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