Data Engineering
Data Engineering
Data Engineering
Engineering Data-Driven Success
Engineering Data-Driven Success
Engineering Data-Driven Success
Data Engineering has become over the years a practice with tons of definitions and skills associated with it.
Data Engineering has become over the years a practice with tons of definitions and skills associated with it.
Data Engineering has become over the years a practice with tons of definitions and skills associated with it.
Data Engineers quickly become a bottleneck in many companies with data engineers under high pressure. This shouldn’t be the case and a clear focus on what data engineers should do and not is key.
Data Engineers quickly become a bottleneck in many companies with data engineers under high pressure. This shouldn’t be the case and a clear focus on what data engineers should do and not is key.
Data Engineers quickly become a bottleneck in many companies with data engineers under high pressure. This shouldn’t be the case and a clear focus on what data engineers should do and not is key.
Is your data infrastructure piling up randomly?
Is your data infrastructure
piling up randomly?
Is your data infrastructure
piling up randomly?
Are you spending most of your time firefighting failing data applications?
Are you spending most of your time
firefighting failing data applications?
Are you spending most of your time
firefighting failing data applications?
Are you struggling to move your data from ingestion to distribution?
Are you struggling to move your data
from ingestion to distribution?
Are you struggling to move your data
from ingestion to distribution?
?
?
?
Solutions
Solutions
Solutions
Data Architecture
Data Architecture
Data Architecture
We analyze your current stack, perform a gap analysis and define together the optimal “to be” architecture based on the specific use case. Batch, streaming, Data Lakehouse, etc. — whatever your business needs are, we make it happen with the most appropriate and bulletproof design.
We analyze your current stack, perform a gap analysis and define together the optimal “to be” architecture based on the specific use case. Batch, streaming, Data Lakehouse, etc. — whatever your business needs are, we make it happen with the most appropriate and bulletproof design.
We analyze your current stack, perform a gap analysis and define together the optimal “to be” architecture based on the specific use case. Batch, streaming, Data Lakehouse, etc. — whatever your business needs are, we make it happen with the most appropriate and bulletproof design.
Data Architecture
Data Architecture
Data Architecture
Data Infrastructure
Data Infrastructure
Data Infrastructure
Data Infrastructure is the foundation on which you build a robust data ecosystem — and not the other way around. You need to start with strong and scalable foundations before anything else. Otherwise, weak foundations will always catch on to you in some way. From cloud expertise to deploying data applications on Kubernetes, we have you covered.
Data Infrastructure is the foundation on which you build a robust data ecosystem — and not the other way around. You need to start with strong and scalable foundations before anything else. Otherwise, weak foundations will always catch on to you in some way. From cloud expertise to deploying data applications on Kubernetes, we have you covered.
Data Infrastructure is the foundation on which you build a robust data ecosystem — and not the other way around. You need to start with strong and scalable foundations before anything else. Otherwise, weak foundations will always catch on to you in some way. From cloud expertise to deploying data applications on Kubernetes, we have you covered.
Data Infrastructure
Data Infrastructure
Data Infrastructure
Ingestion
Ingestion
Ingestion
We bring ANY data from ANY kind of source into a system for processing or storage. Making sure to develop data contracts between your software engineers' team and your data team.
We bring ANY data from ANY kind of source into a system for processing or storage. Making sure to develop data contracts between your software engineers' team and your data team.
We bring ANY data from ANY kind of source into a system for processing or storage. Making sure to develop data contracts between your software engineers' team and your data team.
Data Pipelines
Data Pipelines
Data Pipelines
Building the transformations is under the scope of the analytics engineer, but the role of the data engineer is to make sure the transformations can run smoothly and seamlessly in an automated way. Data engineers are concerned about the “Operations” part of those transformations into well-designed, observable, and scalable data pipelines.
Building the transformations is under the scope of the analytics engineer, but the role of the data engineer is to make sure the transformations can run smoothly and seamlessly in an automated way. Data engineers are concerned about the “Operations” part of those transformations into well-designed, observable, and scalable data pipelines.
Building the transformations is under the scope of the analytics engineer, but the role of the data engineer is to make sure the transformations can run smoothly and seamlessly in an automated way. Data engineers are concerned about the “Operations” part of those transformations into well-designed, observable, and scalable data pipelines.
Data Orchestration
Data Orchestration
Data Orchestration
We are coordinating many jobs to run as quickly and efficiently as possible, whether it's on a scheduled timing or event-based. This is the intersection of Data Engineering and DataOps; to automate and execute the flow of data from ingestion to distribution.
We are coordinating many jobs to run as quickly and efficiently as possible, whether it's on a scheduled timing or event-based. This is the intersection of Data Engineering and DataOps; to automate and execute the flow of data from ingestion to distribution.
We are coordinating many jobs to run as quickly and efficiently as possible, whether it's on a scheduled timing or event-based. This is the intersection of Data Engineering and DataOps; to automate and execute the flow of data from ingestion to distribution.
Why us
Why us
Why us
Data Engineering is what defines us
Data Engineering is what defines us
Data Engineering is what defines us
Holistic approach
Holistic approach
Holistic approach
We take a holistic approach on Data Engineering and make it part of a bigger ecosystem around security, data management, DataOps, Data Architecture, orchestration, and software engineering.
We take a holistic approach on Data Engineering and make it part of a bigger ecosystem around security, data management, DataOps, Data Architecture, orchestration, and software engineering.
We take a holistic approach on Data Engineering and make it part of a bigger ecosystem around security, data management, DataOps, Data Architecture, orchestration, and software engineering.
Understand your business
Understand your business
Understand your business
We understand your business will keep evolving and your priorities will change over time. We will have you covered each step of the way!
We understand your business will keep evolving and your priorities will change over time. We will have you covered each step of the way!
We understand your business will keep evolving and your priorities will change over time. We will have you covered each step of the way!
Years of experience
Years of experience
Years of experience
Astrafy engineers are experts in data engineering through years of accumulated experience on large-scale projects.
Astrafy engineers are experts in data engineering through years of accumulated experience on large-scale projects.
Astrafy engineers are experts in data engineering through years of accumulated experience on large-scale projects.
We are official organizers of dbt Meetups in Switzerland and Madrid
We are official organizers of dbt Meetups in Switzerland and Madrid
We are official organizers of dbt Meetups in Switzerland and Madrid
Resources
Resources
Resources
Ready to level up
your data engineering practices?
Ready to level up
your data engineering practices?
Ready to level up your data engineering practices?