Enterprise AI Data Engineering & Automation Solutions
GenAI Protos revolutionizes enterprise data engineering through cutting-edge AI automation and generative AI-powered development tools. Our data engineering services combine decades of enterprise data architecture expertise with advanced AI automation frameworks to deliver unprecedented speed and efficiency.
Whether you’re building modern data platforms, modernizing legacy ETL systems, or migrating thousands of data scripts across cloud environments, our AI data engineering solutions are engineered to deliver 3x acceleration while eliminating manual effort and reducing operational costs.
Our proven data engineering automation approach has successfully transformed data operations for Fortune 20 enterprises across retail, healthcare, manufacturing, and financial services industries. From automated ETL development and data pipeline generation to intelligent data modeling and comprehensive testing automation, we provide end-to-end AI-powered data engineering services that scale with your enterprise requirements.
Your Challenges
- Slow development cycles & high maintenance costs stem from repetitive, manual pipeline coding
- Missed deadlines and budget overruns occur due to guesswork in estimating data task efforts
- Inconsistent data and compliance risks arise from manually created and unmanaged data quality rules
- Onboarding delays and duplicated work result from undocumented pipeline logic and processes
- Poor query performance and misaligned business metrics are caused by manually built, inconsistent data models
- Deployment bottlenecks and quality issues occur when SQL or PySpark code reviews are slow and subjective
What We Deliver
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3x Faster Data Script Development & ETL Automation
Leverage advanced AI assistants and machine learning algorithms to generate, refactor, and optimize data scripts, ETL processes, and data transformation workflows at enterprise scale with unprecedented speed and accuracy.
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Automated Legacy Data System Analysis & Modernization
Automatically decode and document undocumented SQL logic, legacy ETL processes, and complex data workflows to accelerate modernization initiatives and reduce technical debt.
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Automated Data Platform Migration & Code Conversion
Convert and migrate legacy data codebases across platforms (Stored Procedures to PySpark, Teradata to BigQuery, Oracle to Snowflake) using custom-built AI automation workflows and enterprise-grade migration tools.
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Intelligent Data Modeling & Automated Lineage Tracking
Accelerate enterprise data schema design, data mapping, metadata extraction, and comprehensive data lineage documentation using advanced AI data modeling tools and automation frameworks.
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End-to-End Data Pipeline Testing & Quality Automation
Auto-generate comprehensive test cases, synthetic data sets, regression validations, and data quality checks across complex data pipelines and enterprise data workflows.
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Automated Data Documentation & Knowledge Management
Automatically generate and maintain comprehensive data pipeline documentation, transformation logic documentation, data dictionaries, and technical specifications at enterprise scale.
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Expert Data Engineering Strategy & Implementation Planning
Engage our senior data engineering consultants for comprehensive roadmap development, technology evaluation, architecture design, and delivery strategy optimization
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AI-Generated Developer Portals & API Documentation
Utilize advanced AI to create and maintain comprehensive technical documentation, API specifications, developer onboarding materials, and knowledge bases with zero manual maintenance effort.
Your Benefits
- Accelerate pipeline development using natural language or metadata, reducing manual effort
- Provides intelligent effort estimates based on historical data, improving planning accuracy and on-time delivery
- Automatically generates and applies data quality rules, enhancing data reliability and reducing compliance risks
- Auto-documents pipelines and explains logic using LLMs, enabling faster onboarding
- Recommends optimized data models and metric layers aligned with business needs, improving performance and reporting accuracy
- Automates code reviews with consistent logic and quality checks, speeding up deployment and reducing production risks
Proven Use Cases Delivered – Powered by Custom-Built Solutions
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Automated Legacy ETL Migration
Delivered comprehensive enterprise-wide data migration by automating the conversion of over 10,000 legacy ETL scripts across multiple platforms - reducing delivery timelines by 70% and eliminating manual conversion effort.
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Metadata-Driven ETL Pipeline Automation & Documentation
Built intelligent, self-documenting ETL pipelines by extracting transformation logic and schema relationships directly from enterprise metadata - enabling faster onboarding, improved governance, and reduced maintenance overhead.
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Enterprise Data Quality & Testing Automation Platform
Developed reusable, AI-powered frameworks to automatically generate test cases, regression test suites, and synthetic datasets - reducing QA effort by 60% while improving test coverage and data quality assurance.
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Automated PII/PCI Data Classification & Compliance Management
Implemented intelligent classification workflows to automatically scan, identify, and tag sensitive data fields across thousands of enterprise datasets - accelerating compliance initiatives and reducing regulatory risk.
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Automated Legacy Data System Analysis & Documentation
Reconstructed and documented undocumented SQL logic and complex ETL workflows into structured, maintainable process documentation—minimizing SME dependency and accelerating modernization planning.
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Intelligent Data Engineering Roadmap & Resource Planning
Created AI-assisted planning accelerators to generate comprehensive end-to-end data program roadmaps, accurate timelines, and optimized resource models—reducing planning cycles from weeks to hours.
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Automated Data Dictionary & Documentation Platform
Generated centralized, self-updating documentation systems for all enterprise datasets and data pipelines—improving data governance, developer productivity, and organizational knowledge management.
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Automated BI Report Migration & Performance Optimization
Automated the migration of complex business intelligence reports across platforms while preserving logic, layout, and performance optimization—streamlining reporting infrastructure and reducing migration risk.
Why GenAI Protos?
Decades of Enterprise Data Architecture & Engineering Experience
Our team brings extensive experience in enterprise data architecture, complex data integration projects, and comprehensive data governance implementations
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Proprietary AI-Powered Data Engineering Tools & Platforms
Leverage our pre-built, AI-enabled automation frameworks designed for every phase of the enterprise data engineering lifecycle—from planning and development to testing and deployment.
Delivery-Proven with Fortune 20 Enterprise Data Programs
Demonstrated success across diverse industries including retail, healthcare, manufacturing, and financial services with measurable results in data engineering transformation and modernization.
Micro-Advisory for Targeted Data Engineering Challenges
Engage our data engineering experts for specific problem-solving initiatives, architecture design sprints, technology evaluations, or comprehensive roadmap development and strategic planning.
Full Ownership of Data Engineering Code, Templates & Scripts
Retain complete ownership of all custom-developed data engineering assets, automation scripts, and frameworks for ongoing reuse and internal capability building.
Let’s Build Smarter, Faster Data Programs Together
If you’re ready to modernize your data workflows, improve delivery speed, and reduce effort – GenAI Protos is your acceleration partner. Our GenAI-powered services give you the edge to stay ahead in a data-driven world.