Analytics Engineering

Analytics Engineering

Analytics Engineering

Shaping Data, Driving Insights

Shaping Data, Driving Insights

Shaping Data, Driving Insights

Analytics engineering comes to the rescue with best-practices around data transformations.

Analytics engineering comes to the rescue with best-practices around data transformations.

Analytics engineering comes to the rescue with best-practices around data transformations.

It's bringing software engineering best-practices to the data world as data needs to be tested, versioned and structured in a way that ownership and quality can be ensured.

It's bringing software engineering best-practices to the data world as data needs to be tested, versioned and structured in a way that ownership and quality can be ensured.

It's bringing software engineering best-practices to the data world as data needs to be tested, versioned and structured in a way that ownership and quality can be ensured.

Is data modelling totally absent in your transformation layer?

Is data modelling totally absent

in your transformation layer?

Is data modelling totally absent

in your transformation layer?

Is data modelling totally absent in your transformation layer?

Are you spending most of your time back-engineering data discrepancies?

Are you spending most of your time

back-engineering data discrepancies?

Are you spending most of your time

back-engineering data discrepancies?

Exhausted from Spaghetti SQL and monolith data transformation?

Exhausted from Spaghetti SQL

and monolith data transformation?

Exhausted from Spaghetti SQL

and monolith data transformation?

?

Solutions

Solutions

Solutions

Data Transformation

Data Transformation

Data Transformation

Analytics engineering focuses on transforming raw data into curated datamarts for downstream applications. We specialize in SQL optimization, using macros and documentation for clean, DRY code.


Our expertise covers batch and real-time processing, lambda and kappa architectures, ensuring scalable data ecosystems. Proficient in dbt, Spark, and Apache Beam, we combine these tools on a solid data engineering base to streamline your data transformations.

Analytics engineering focuses on transforming raw data into curated datamarts for downstream applications. We specialize in SQL optimization, using macros and documentation for clean, DRY code.


Our expertise covers batch and real-time processing, lambda and kappa architectures, ensuring scalable data ecosystems. Proficient in dbt, Spark, and Apache Beam, we combine these tools on a solid data engineering base to streamline your data transformations.

Analytics engineering focuses on transforming raw data into curated datamarts for downstream applications. We specialize in SQL optimization, using macros and documentation for clean, DRY code.


Our expertise covers batch and real-time processing, lambda and kappa architectures, ensuring scalable data ecosystems. Proficient in dbt, Spark, and Apache Beam, we combine these tools on a solid data engineering base to streamline your data transformations.

Abstract illustration showing a series of shapes transforming from a disordered cluster to an organized pattern, with arrows indicating the flow. This represents the concept of data transformation from raw to structured formats in the field of data engineering.
Abstract illustration showing a series of shapes transforming from a disordered cluster to an organized pattern, with arrows indicating the flow. This represents the concept of data transformation from raw to structured formats in the field of data engineering.
Abstract illustration showing a series of shapes transforming from a disordered cluster to an organized pattern, with arrows indicating the flow. This represents the concept of data transformation from raw to structured formats in the field of data engineering.
Illustration depicting Astrafy's  logo with branching nodes connected by lines, symbolizing a data mesh architecture.
Illustration depicting Astrafy's  logo with branching nodes connected by lines, symbolizing a data mesh architecture.
Illustration depicting Astrafy's  logo with branching nodes connected by lines, symbolizing a data mesh architecture.

Data Mesh

Data Mesh

Data Mesh

The rise of data transformations can turn a central data team into a bottleneck. Data mesh, decentralizes the data ecosystem into distinct data products, enhancing flexibility, ownership, and collaboration between business and technical teams.


It shifts focus from siloed to cross-functional teams with a unified goal: bring value to the business. Ideal for large, complex data environments, data mesh represents a progressive paradigm. Our engineers facilitate this transition through discovery workshops, data product definitions, and design, empowering your team to implement data products at scale.

The rise of data transformations can turn a central data team into a bottleneck. Data mesh, decentralizes the data ecosystem into distinct data products, enhancing flexibility, ownership, and collaboration between business and technical teams.


It shifts focus from siloed to cross-functional teams with a unified goal: bring value to the business. Ideal for large, complex data environments, data mesh represents a progressive paradigm. Our engineers facilitate this transition through discovery workshops, data product definitions, and design, empowering your team to implement data products at scale.

The rise of data transformations can turn a central data team into a bottleneck. Data mesh, decentralizes the data ecosystem into distinct data products, enhancing flexibility, ownership, and collaboration between business and technical teams.


It shifts focus from siloed to cross-functional teams with a unified goal: bring value to the business. Ideal for large, complex data environments, data mesh represents a progressive paradigm. Our engineers facilitate this transition through discovery workshops, data product definitions, and design, empowering your team to implement data products at scale.

Data Modeling

Data Modeling

Data Modeling

One of the most underrated activities in data. Data models organize and standardize data to align with your organization's processes and logic, ensuring data transformations are part of a comprehensive plan involving all stakeholders. Neglecting data modeling can lead to repetitive, unowned transformations for narrow purposes.


A robust data model acts as a blueprint for various future applications. Before coding, we prioritize designing adaptable data models using tools like SQLBM and Lucidchart, drawing from our expertise in 3NF, star schemas, dimensional modeling, and Data Vault 2.0, to create models best suited for your data product.

One of the most underrated activities in data. Data models organize and standardize data to align with your organization's processes and logic, ensuring data transformations are part of a comprehensive plan involving all stakeholders. Neglecting data modeling can lead to repetitive, unowned transformations for narrow purposes.


A robust data model acts as a blueprint for various future applications. Before coding, we prioritize designing adaptable data models using tools like SQLBM and Lucidchart, drawing from our expertise in 3NF, star schemas, dimensional modeling, and Data Vault 2.0, to create models best suited for your data product.

One of the most underrated activities in data. Data models organize and standardize data to align with your organization's processes and logic, ensuring data transformations are part of a comprehensive plan involving all stakeholders. Neglecting data modeling can lead to repetitive, unowned transformations for narrow purposes.


A robust data model acts as a blueprint for various future applications. Before coding, we prioritize designing adaptable data models using tools like SQLBM and Lucidchart, drawing from our expertise in 3NF, star schemas, dimensional modeling, and Data Vault 2.0, to create models best suited for your data product.

Graphic representation of a data modeling concept, featuring a browser window with a simplified diagram of interconnected databases, indicative of structured data layers and the relationships between them.
Graphic representation of a data modeling concept, featuring a browser window with a simplified diagram of interconnected databases, indicative of structured data layers and the relationships between them.
Graphic representation of a data modeling concept, featuring a browser window with a simplified diagram of interconnected databases, indicative of structured data layers and the relationships between them.

Bridging the gap

Bridging the gap

Bridging the gap

between technical and business communication is essential in data.
We use terminologies and concepts that talk to everyone.

between technical and business communication is essential in data.
We use terminologies and concepts that talk to everyone.

between technical and business communication is essential in data.
We use terminologies and concepts that talk to everyone.

Flowchart diagram illustrating the transition from traditional business and IT silos to an integrated data management system. The left side shows two separate circles for 'Business' and 'IT' merging into a central overlapping area labeled 'Business Data Teams IT', leading to the right side with a central 3D button labeled 'Data Management' pointing towards steps 'Ingest, Identify, Process, Define, Share, and Standardize', reflecting organizational and vocabulary shifts in data strategy.
Flowchart diagram illustrating the transition from traditional business and IT silos to an integrated data management system. The left side shows two separate circles for 'Business' and 'IT' merging into a central overlapping area labeled 'Business Data Teams IT', leading to the right side with a central 3D button labeled 'Data Management' pointing towards steps 'Ingest, Identify, Process, Define, Share, and Standardize', reflecting organizational and vocabulary shifts in data strategy.

Why us

Why us

Why us

Icon featuring a honor star, indicating a high level of proficiency and specialized knowledge in data technologies.

Expertise in SQL, dbt, and Apache Beam

Expertise in SQL, dbt, and Apache Beam

Expertise in SQL, dbt, and Apache Beam

Icon depicting a stacked square design, signifying structured and layered expertise in complex data infrastructure.

Experienced
in Data Mesh implementations

Experienced
in Data Mesh implementations

Experienced
in Data Mesh implementations

Icon featuring two interlinked hearts, symbolizing  partnerships.

Partnerships with dbt Labs and Data Vault Builder

Partnerships with dbt Labs and Data Vault Builder

Partnerships with dbt Labs and Data Vault Builder

Certification in dbt
and Data Vault 2.0

Certification in dbt
and Data Vault 2.0

Certification in dbt
and Data Vault 2.0

Badge with a blue ribbon border and a dark blue background, featuring the text 'Certified dbt Developer' with the dbt logo, indicating professional certification in using dbt for data build tool development.
Badge with a blue ribbon border and a dark blue background, featuring the text 'Certified dbt Developer' with the dbt logo, indicating professional certification in using dbt for data build tool development.
Badge with a blue ribbon border and a dark blue background, featuring the text 'Certified dbt Developer' with the dbt logo, indicating professional certification in using dbt for data build tool development.
Datavault Builder logo, featuring a stylized robot, symbolizing certification and expertise in this data management technology.
Datavault Builder logo, featuring a stylized robot, symbolizing certification and expertise in this data management technology.
Datavault Builder logo, featuring a stylized robot, symbolizing certification and expertise in this data management technology.