Automation
Custom workflow automation using Python, serverless technologies, and low-code/no-code tools that eliminate bottlenecks and accelerate delivery.
Data Engineering & Automation
Building the backbone of intelligent businesses.
Where bold ideas meet modern technology — seamlessly. Streamata designs the pipelines, warehouses, and automations that turn scattered raw data into reliable, decision-ready assets.
- 10+
- Innovative solutions delivered
- 15+
- Satisfied clients
- 3
- Cloud platforms — AWS, Snowflake & Azure
01 · Sources
Legacy & on-prem
SQL Server, SSIS packages, and the systems you already run
02 · Build
Pipelines & automation
Python, AWS Lambda, and open-source tooling
03 · Store
Cloud warehouse
Snowflake, AWS Redshift, Azure Synapse
04 · Deliver
Insight
Dashboards, reports, and AI workflows stakeholders actually use
Fig. 01 — One documented flow, from legacy source to boardroom dashboard.
In the stack
AWS Redshift
Snowflake
Azure Synapse
SQL Server
SSIS
Python
AWS Lambda
Open Source
Low-code / No-code
01 — Who we are
Bridging legacy systems & modern data
At Streamata, we bridge the gap between legacy systems and modern data solutions. With deep expertise in on-premise databases like SQL Server, ETL frameworks such as SSIS, and cloud platforms including AWS Redshift, Snowflake, and Azure Synapse, we help organizations streamline, scale, and future-proof their data operations.
We don’t just implement solutions — we ensure every step is meticulously documented, creating a clear, maintainable roadmap for your team. Beyond traditional data engineering, we develop custom automations using Python, open-source technologies, and serverless solutions like AWS Lambda, and provide recommendations for low-code/no-code tools to accelerate workflows.
Choosing Streamata means partnering with a team that delivers precision, innovation, and clarity at every stage of your data journey.
Cloud platforms
AWS Redshift
Snowflake
Azure Synapse
AWS Lambda
On-premise & ETL
SQL Server
SSIS
Python
Open Source
Automation & AI
Serverless
Low-code / No-code
AI Workflows
02 — What we do
End-to-end data solutions
Six ways we take data from wherever it lives today to wherever your business needs it — engineered, documented, and built to hand off.
Data Engineering
Robust pipelines, ETL frameworks, and scalable architectures that transform raw data into reliable, production-ready assets.
Data Visualization
Clear, actionable dashboards and reports that turn complex data into insights your stakeholders can actually use.
Data Warehousing
Scalable data warehouse design and optimization across Snowflake, AWS Redshift, Azure Synapse, and on-premise SQL Server environments.
AI Workflows for Custom Scenarios
Purpose-built AI integrations and intelligent automation pipelines tailored to your specific business problems and operational context.
On-Prem to Cloud Migration
End-to-end migration strategy and execution — from legacy on-premise systems to modern cloud platforms — with minimal disruption and maximum data integrity.
03 — How we work
Precision, innovation & clarity
Every engagement runs the same disciplined loop — so you always know what’s happening, what’s next, and what you’ll own when we’re done.
1
Understand the full picture
We start by mapping your existing systems, pain points, and goals — not just the immediate task, but the organizational context around it.
2
Design for longevity
Every solution is built to scale and maintain — architected with your team’s long-term ownership in mind, not just the next sprint.
3
Implement with rigor
We ship clean, tested, well-documented code. No black boxes, no mystery pipelines — every build comes with a clear audit trail.
4
Hand off with confidence
Meticulous documentation means your team can maintain, extend, and build on the work — long after the engagement ends.
Fully documented
Scalable by design
Built to hand off
04 — Thought leadership
Good ideas deserve an audience.
We go beyond delivery — contributing to the broader data community through writing, speaking, and sharing frameworks that help organizations think clearly about their data strategy.
The same clarity we bring to a pipeline, we bring to the page: hard-won lessons, documented in the open, so the next team starts further ahead.
Ready to modernize your data stack?
Tell us where your data lives today — and where it needs to go. We’ll bring the map, the pipeline, and the documentation.