Personal details

Sascha D. - Remote data engineer

Sascha D.

Based in: 🇩🇪 Germany
Timezone: Berlin (UTC+2)

Summary

Writing my first lines of code, when I was still a teenage, laid the foundation of my passion for crafting software.

People I work with know me as a person who adapts cutting-edge technologies pretty fast and use those to craft better software. For example, several years ago, a project which had the goal to introduce a web-based solution to remove a manual process, was not accepted by the customer due to reloading the complete webpages while retrieving updated data. I used a predecessor of the technology later known as AJAX - called XML Data Islands - to refresh only parts of the webpages. This helped our team to deliver a product with an exceptional user experience, which led to a great customer relationship.

My focus over the last couple of years is on Cloud Computing technologies in general and the Microsoft Azure Cloud Platform, and since 2021 GCP, in particular.
Due my long experience with Microsoft SQL Server (since SQL Server 7.0) and its Business Intelligence capabilities (since SQL Server 2000), my second focus is on Big Data / Complex Data processing by using technologies like Hadoop / HDInsight, HBase, Hive and R, as well as Data Science.

I love making a difference by sharing my knowledge and help people write better software.
I'm a regular speaker at user groups and international conferences, as well as author of several technical articles.

Work Experience

Customer Engineer (Smart Analytics)
Google | Dec 2021 - Present
Python
MySQL
MongoDB
PostgreSQL
Google Cloud Platform
Jupyter
TensorFlow
Databricks
JupyterLab
Gcp bigquery
As a Customer Engineer (Smart Analytics) I help customers design cloud architectures, engage in proof of concepts, answer questions about technical features, and troubleshoot potential roadblocks related to database migration and data back-ends. The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. Google Cloud provides organizations with leading infrastructure, platform capabilities and industry solutions. We deliver enterprise-grade cloud solutions that leverage Google’s cutting-edge technology to help companies operate more efficiently and adapt to changing needs, giving customers a foundation for the future. Customers in more than 150 countries turn to Google Cloud as their trusted partner to solve their most critical business problems.
Cloud Solution Architect (Advanced Analytics & AI)
Microsoft | Nov 2015 - Nov 2021
SQL
Azure
Microsoft SQL Server
Azure SQL
Azure Functions
Databricks
Azure blob storage
Azure Data Factory
Azure Data Engineer
Azure Data Lake
A Cloud Solution Architect (Advanced Analytics & AI) works within a team and drives high priority customer initiatives on Azure in collaboration with customers and the Microsoft field focused on Data Analytics. A Cloud Solution Architect (Advanced Analytics & AI) drives high priority customer initiatives, leveraging Azure data services to solve the biggest and most complex data challenges faced by Microsoft’s enterprise customers. The CSA is a technical, customer facing role, accountable for the end-to-end customer deployment and usage experience for Azure data services. CSAs own the Azure technical customer engagement including: architectural design sessions, implementation projects and/or Proofs of Concepts (POCs).