Hi PyLadies Berlin! In this members' talks evening held in person, we will have an introduction from our sponsor DLT and 3 very insightful talks around data sources, ingestion and transformation for you.
Come enjoy the evening and network with us! 🥳
✨ Using the modern stack to build a product catalog for scalability - Sara Garcia Cabezalli
This meeting will focus on real-world use cases. HelloPrint, an online platform for printed products with over 10 million SKUs, leveraged a modern data stack—including DBT, Airflow, and OpenAI—to streamline its product catalog. Our team’s solution reduced manual tasks by 80%, showcasing the power of automation and data-driven processes.
👩💻 Sara García Cabezalí is a Data Engineer at HelloPrint, where she leads the data management for the product catalog. Her role involves building data pipelines to standardize diverse data formats and developing automated solutions to streamline daily operations and boost efficiency. Originally from Spain, she holds a background in Mathematics and Statistics.
✨ Building a composable data future: how dlt empowers data pipelines- Alena Astrakhantseva
In a world where data teams need agility, flexibility, and control over their pipelines, dlt (data load tool) steps in to simplify and empower the data engineering process. We’ll discuss how dlt integrates with other tools, to create seamless, end-to-end pipelines that are easy to configure and maintain. Perfect for data engineers, analysts, and anyone eager to embrace a future of composable, future-proof data workflows.
👩💻 Alena Astrakhantseva is a Python Developer, Data Scientist, and DevRel professional at dltHub, the company behind dlt (data load tool). She builds and optimizes data pipelines (ELT/ETL), engages with the dltHub community, and creates educational content to make data processing more accessible.
Previously a scientist, she traded Applied Math equations for Machine Learning adventures, specializing in the classification and segmentation of visual data in the challenging medical domain.
✨ The Struggles Of Buying Data - Timna Aversa
Come with me as I share my recent experience buying data for my recent company project, here I share my unexpected struggles and some of the great learning that came out of this adventure.
👩💻 Timna is someone that loves data and enjoys sharing and learning from the community.
📆 Agenda
- 19h00 PyLadies Opening
- 19h10 DLT Welcoming
- 19h15 The Struggles Of Buying Data
- 19h30 Using the modern stack to build a product catalog for scalability
- 20h00 Break
- 20h10 Building a composable data future: how dlt empowers data pipelines
- 20h30 Networking
- 21h00 Until Next Time
Getting into the Venue:
There is a locked door downstairs, but we have an intercome, guests should:
- press the button 'dlthub' -> go to elevator -> 6th floor -> ring 'dlthub' bell
❓ Can men attend ❓
Everyone is welcome. :)
If you identify as someone well-represented in open source and in tech, please be mindful of the space and privileges you have, and use it to support others.
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📧 Contact
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