Meet United Techno at Snowflake Summit 2026
Build Snowflake architectures that scale, perform, and stay cost-efficient.
Secure a 1:1 with our Snowflake experts during the event or post-Summit
Proven at Scale
Built for Snowflake Performance.
Who You’ll Meet
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.
Matt Logan
Account Executive, Data & AI, United Techno
Matt is a Sales Account Executive in Data & AI at United Technologies Inc, where he partners with enterprise organizations to drive data modernization, analytics, and AI transformation initiatives. He has experience working with Fortune 500 companies, helping executive stakeholders align technology investments with strategic business outcomes through consultative solution selling. With a background in enterprise sales and relationship management, Matt specializes in building long-term partnerships and delivering scalable data and AI solutions that accelerate growth and innovation.
What We’re Showcasing at Snowflake Summit 2026
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?
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Turn snowflake Summit 2026 conversations into execution-ready plans.
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