Data Engineer Agents

Can automate data pipelines natively and securely in your enterprise data platforms to continuously improve workflows while working seamlessly with your tools, and teams.
Use case

How Genesis Data Agents Enhance Data Engineering

Legacy Database Migrations

Problem
Migrating data pipelines from legacy systems like SAP and Oracle is slow and labor-intensive, requiring manual business logic extraction and translation into modern platforms.
Solution
Genesis automates data logic migration, re-coding the translated business logic and testing the resulting pipelines to ensure they achieve the same results speeding up the process with higher accuracy while reducing manual effort.
Multi agent system Updates Legacy Data Pipelines based on: “Source research”, “Mapping proposal”, “Code Generation”, “QA Testing” and as a result we see updated Resulting data pipelines

Automate Data Pipeline Construction

Problem
Data teams that have the business and technical knowledge are a bottleneck that can't keep up with business demand for data products and reporting.
Solution
Genesis automates pipeline orchestration, ensuring seamless data flow, real-time adjustments, and minimal manual intervention.
Genesis agent uses Google Drive spreadsheet and _GitAction_ to update data

Autonomously Catalog Data Assets with Semantics

Problem
Maintaining semantic definitions and access control roles in data catalogs is a resource-heavy manual task leaving them stale and unusable.
Solution
Automatically populate catalog entries using business knowledge, semantic data understanding, and certified entries ensuring they always match the underlying datasets.
Avoiding problems such as: “Missing owners”, “Access controls”, “Out of sync”, “Stale metadata” Genesis agent automatically populates the catalog
Key features

Capabilities for Genesis Data Engineer Agents

Key features

Capabilities for Genesis Data Engineer Agents

Database Tools

Find semantically relevant data sets, run SQL queries, execute Python dataframe code.

Process Runner Tools

Automate and execute multi-step workflows with ease.

Snowflake Semantic Tools

Build and optimize data models in Snowflake.

Code Execution Manager

Execute, store, update structured scripts (Python/SQL).

Web Access Tools

Enrich workflows with automated web data retrieval.

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