Data Engineering
Turn scattered business data into reliable pipelines, clean models, and reporting-ready foundations your team can trust.
TathyaForge
We build reliable data platforms, AI automation workflows, dashboards, and custom software that help teams move from scattered processes to scalable systems.
Engineering focus
Azure, GCP, AWS, and cloud data foundations built for reliability.
AI workflows with human review, approval, and control built in
Business workflows translated into maintainable software
Dashboards and reporting layers built for decisions
Services
TathyaForge helps teams replace fragile manual processes with reliable platforms, automations, dashboards, and internal software that can be supported after launch.
Turn scattered business data into reliable pipelines, clean models, and reporting-ready foundations your team can trust.
Plan and build Azure, GCP, AWS, Databricks, and warehouse environments that support scale without creating platform sprawl.
Convert repetitive document, support, and operations work into reviewed, practical automation using OpenAI and LLM workflows.
Create dashboards, forecasts, and decision layers that help leaders see what is happening and what needs attention next.
Build role-based portals, approval workflows, and internal systems around how your business actually operates.
How we work
The work stays structured and visible, so you understand what is being built, why it matters, and what is coming next.
Who we help
The best projects start with a real operational bottleneck: manual reporting, disconnected data, slow approvals, or a product idea that needs a disciplined first build.
Businesses stuck with manual Excel workflows
Founders building SaaS or internal tools
Teams needing dashboards and reporting automation
Companies moving data to Azure, GCP, AWS, or Databricks
Construction and operations-heavy businesses needing ERP/workflow systems
Why TathyaForge
You get a practical delivery partner who cares about the business workflow, the quality of the architecture, and whether the system will still make sense after the first launch.
Clear architecture before build decisions harden
Systems designed around business operations
Delivery with direct founder-level accountability
Maintainable code, documentation, and support paths
Process
Solution blueprints
Blueprint
A structured operating system for project tracking, approvals, vendors, documents, and site-to-office visibility. Designed for businesses moving beyond spreadsheets and chat-based coordination.
Blueprint
A cloud data foundation that connects source systems, applies quality checks, and prepares trusted datasets for reporting, automation, and future AI use cases.
Blueprint
A practical workflow for intake, extraction, classification, review, and routing of business documents. Built with controls so automation supports teams instead of replacing judgment.
Blueprint
A decision layer for forecasting, segmentation, anomaly detection, and operational insights. Useful when dashboards need to move from visibility to sharper recommendations.
Blueprint
A focused product foundation for founders who need authentication, roles, dashboards, workflows, and deployment without overbuilding the first version.
Founder-led
TathyaForge is intentionally founder-led. You work directly with someone who can understand the business problem, challenge the scope when needed, make practical architecture decisions, and keep delivery focused on the system your team actually needs.
Tech stack
FAQ
TathyaForge builds data pipelines, cloud data platforms, AI automation workflows, dashboards, custom ERP systems, SaaS MVPs, and internal business tools.
Yes. The work is shaped around practical scope, clear priorities, and systems that can grow without forcing a large enterprise-style engagement from day one.
Yes. TathyaForge can help design, migrate, optimize, and govern data platforms across Azure, GCP, AWS, Databricks, and related cloud services.
Yes. TathyaForge builds role-based portals, approval workflows, operational dashboards, admin panels, and custom ERP-style systems for business teams.
Start with a short discovery conversation. We clarify the workflow, data sources, users, risks, and delivery roadmap before recommending the right build path.