Build AI-Ready Data Platforms on Databricks. Not Just Pipelines.
Meet United Techno at Data + AI Summit 2026 and see how enterprises are accelerating Databricks from experimentation to production-grade, governed, AI-ready platforms.
Pre-Summit. During the Summit. Post-Summit. We’ll make it work.
From Fragmented Pipelines
Production-Ready, AI-Ready Data in Days
Up to 5× faster pipeline deployment for standardized ingestion patterns
Who You’ll Meet
Moorthy Subbiah
Founder and President, United Techno
Moorthy Subbiah believes that the key drivers for United Techno’s growth are employee well-being and customer satisfaction. With over 20 years of experience, he specializes in business strategy and growth Investments for United Techno and heads the portfolio for Retail and Life Sciences customers. He has a Master’s in Chemical Engineering from Texas Tech University, USA.
Nitin Goswami
Practice Head, Data Engineering & AI/ML, United Techno
Nitin is a data engineering and AI/ML leader with 14+ years of experience building enterprise data platforms and modern analytics ecosystems. At United Techno, he leads delivery and solutioning across Snowflake, Databricks, Microsoft Fabric, and Amazon Redshift. His work focuses on cloud data migrations, scalable architectures, and practical AI/ML integration across retail, logistics, and life sciences, helping organizations move from fragmented data to production-ready insights.
He has extensive experience working with enterprise technology clients, delivering large-scale data platform transformations and analytics modernization programs in complex, multi-system environments.
What We’re Showcasing
Snowflake
Data Engineering
DataAccel
Acceleration Framework
Industry-specific
Data Solutions
What You Can Expect
Clear gaps. Clear fixes. Clear next steps.
- Scalable ingestion models (Snowpipe / Batch / Hybrid)
- Performance and cost optimization
- Governance built into pipelines
- Faster onboarding with DataAccel
Outcome:
Clear next steps for improving your Snowflake environment.
Snowflake in Production
What We’ve Delivered
Our Snowflake Focus Areas
Data Engineering & Ingestion
- Snowpipe, CDC, Streams & Tasks
- Hybrid ingestion (APIs, SaaS, on-prem)
- Schema evolution handling
Performance & Cost Optimization
- Warehouse isolation strategies
- Query optimization
- Compute governance
DataAccel (Acceleration Framework)
- Config-driven pipeline deployment
- Automated medallion architecture
- Built-in observability and validation
Why Teams Choose to Meet Us at Summit
We focus on how your Snowflake environment actually performs in production.
What We Bring to the Conversation
- Architecture-first Snowflake engineering
- Faster data onboarding without pipeline bottlenecks
- Built-in governance, not afterthought fixes
- Cost-aware performance optimization
- Proven acceleration using DataAccel
What You Walk Away With
- Clear architecture gaps
- Optimization opportunities
- Practical next steps
Not Sure If Your Snowflake Setup Will Scale?
Most issues are architectural, not tooling-related.
Measured Impact Across Implementations
Capability | Impact |
Data Ingestion | 3× Faster |
Pipeline Automation | 99% |
Cost Optimization | 25–30% Reduction |
Manual Effort | ↓ 60–80% |
Data Onboarding | Weeks → Hours |
Insights Latency | Near Real-Time |
Can’t Meet at the Event?
Closing Section
Let’s Build the Future of Connectivity
Join United Techno at Boomi World 2026 and discover how intelligent integration can unlock new growth opportunities. Visit Booth #125 and start a conversation that drives real business impact.
Get in touch with our experts for a quick demo.
