Avion Technology Turns Your Data Into Decisions on the Snowflake Data Cloud
Avion Technology delivers Snowflake consulting, migration, data engineering, governance, and cost optimization — so you get a fast, governed, AI-readydata platform, not just a Snowflake account.
We’re data engineers, not resellers.
We design warehouse strategy, write the pipelines, tune the queries, and set the governance and cost guardrails – delivering a plat for my our team can actually trust and afford.
Snowflake Services Avion Technology Delivers
We deliver end-to-end Snowflake services – from architecture and migration through data engineering, governance, and long-term optimization.
Avion Technology implements, migrates to, and optimises Snowflake for mid-market data teams – including the cost work, because Snowflake overspend is almost always a design issue rather than a pricing one.
Snowflake Consulting & Architecture
What it is: Data platform strategy, account and warehouse architecture, and a clear implementation roadmap.
Benefits: A platform designed for performance, cost, and governance from day one — not retrofitted later.
Ideal for: Organizations adopting Snowflake or re-architecting an existing account.
Expected outcome: A reference architecture, role model, and roadmap before build begins.
Snowflake Implementation & Setup
What it is: Standing up your Snowflake account — databases, schemas, warehouses, roles, networking, and security baselines.
Benefits: A production-ready foundation built on best practices.
Ideal for: Businesses starting fresh on Snowflake.
Expected outcome: A properly structured, secure, ready-to-use Snowflake environment.
Data Warehouse Migration
What it is: Migrating from Teradata, Oracle, Netezza, SQL Server, Hadoop, Redshift, BigQuery, or Synapse into Snowflake — schema, data, and workloads.
Benefits: Preserved history, validated data, and minimal downtime with a de-risked cutover.
Ideal for: Organizations leaving a legacy or costly warehouse.
Expected outcome: A validated migration with parity checks and a clean cutover.
Data Engineering & Pipelines
What it is: Building ingestion and transformation pipelines with Snowpipe, Streams and Tasks, Dynamic Tables, and dbt.
Benefits: Reliable, maintainable, near-real-time data flows instead of brittle scripts. Ideal for: Teams that need trustworthy, automated data pipelines.
Expected outcome: Production-grade ELT pipelines feeding governed, modeled data.
Data Lake & Lakehouse (Iceberg)
What it is: Building lakehouse patterns with Iceberg tables, external stages, and open storage.
Benefits: Open, interoperable storage with Snowflake’s performance and governance. Ideal for: Organizations standardizing on open table formats.
Expected outcome: A governed lakehouse that avoids lock-in and serves multiple engines.
Snowflake Performance Optimization
What it is: Tuning warehouse sizing, clustering keys, query design, caching, and workload isolation.
Benefits: Faster queries, less contention, and better throughput for your users. Ideal for: Accounts with slow or inconsistent query performance.
Expected outcome: Measurably faster workloads and a documented tuning baseline.
Cost Optimization & FinOps
What it is: Warehouse right-sizing, auto-suspend/auto-resume, resource monitors, credit analysis, and consumption governance.
Benefits: Predictable, controlled spend without sacrificing performance.
Ideal for: Organizations with rising or unpredictable Snowflake costs.
Expected outcome: Lower, transparent spend with guardrails to keep it there.
Data Governance & Security
What it is: RBAC role hierarchies, dynamic data masking, row-access policies, object tagging, and lineage — aligned to Snowflake Horizon.
Benefits: Sensitive data is protected, and compliance requirements are met, with clear access controls.
Ideal for: Regulated organizations and any business handling sensitive data.
Expected outcome: A governed, auditable platform with least-privilege access.
Data Sharing & Marketplace
What it is: Secure Data Sharing, reader accounts, Data Clean Rooms, and Snowflake Marketplace enablement.
Benefits: Share live data with partners and customers with no copying or ETL.
Ideal for: Organizations that exchange data internally or externally.
Expected outcome: Governed, live data sharing without data movement.
Snowpark Development
What it is: Building data applications and transformations in Python, Java, or Scala with Snowpark, including Snowpark ML.
Benefits: Run code and ML directly where your data lives, securely and at scale.
Ideal for: Teams building data apps or ML on their Snowflake data.
Expected outcome: Snowpark pipelines and apps running natively in Snowflake.
Cortex AI & LLM Enablement
What it is: Enabling Snowflake Cortex — LLM functions, Cortex Analyst (natural-languagequerying over semantic models), Cortex Search, and Document AI.
Benefits: AI-poweredanalytics and document intelligence grounded in your governed data.
Ideal for: Organizations bringing AI to their data without moving it out of Snowflake.
Expected outcome: Working AI features built on your own trusted data.
BI & Analytics Enablement
What it is: Data modeling and semantic layers that expose clean data to Tableau, Power BI, and Streamlit-in-Snowflake apps.
Benefits: Self-service, trustworthy analytics on top ofwell-modeled data.
Ideal for: Leadership and analytics teams that need reliable reporting.
Expected outcome: Clean, modeled data powering fast, accurate BI.
Managed Services & Support
What it is: Ongoing administration, monitoring, optimization, and enhancement of your Snowflake platform. Benefits: A platform that stays fast, governed, and cost-efficient over time. Ideal for: Teams without a dedicated Snowflake platform team.
Expected outcome: A continuously monitored, tuned, and supported platform.
How Avion Technology Will Implement
Snowflake for You
We follow a structured, transparent process so you always know what’s happening and what’s next.
Phase
Deliverable
Discovery
Architecture and modelling plan
Foundation
Governed platform
Ingestion
Raw layer loading reliably
Modelling
Curated layer with tested metrics
Consumption
Reporting live, old system retired
Optimism & operate
Maintained platform, attributed spend
Why Avion Technology
19+
Years of Experience
1.9k+
Projects Completed
500+
Clients Satisfied
40+
Technology Experts
“We configure the specific modules and capabilities that match your operations — not a one-size-fits-all setup.”
DynamicsCon 2025 is this incredible event, where the Microsoft Dynamics 365, Dynamics GP, and Power Platform communities come together for a truly educational, engaging and unforgettable experience.
~ DynamicsCon 2025
Why Avion Technology
19+
Years of Experience
1.9k+
Projects Completed
500+
Clients Satisfied
40+
Technology Experts
” We are Certified Microsoft consultants helping organizations successfully implement, customize, integrate, and support Business Central. ”
DynamicsCon 2025 is this incredible event, where the Microsoft Dynamics 365, Dynamics GP, and Power Platform communities come together for a truly educational, engaging and unforgettable experience.
~ DynamicsCon 2025
FAQs
Direct answers, written for people evaluating whether this is the right service and the right team.
Snowflake is a cloud data platform that separates storage from
compute, letting you store all your data and run independent, elastic compute (virtual
warehouses) against it for analytics, data engineering, applications, and AI.
.
Yes. Avion Technology provides
Snowflake consulting, implementation, migration, data engineering, governance, and
optimization — we build and operate Snowflake platforms, not just advise on them.
Snowflake separates
storage and compute, so workloads scale independently and don’t contend. It’s fully
managed, elastic, and priced per-second of compute, with features like zero-copy cloning,
Time Travel, and secure data sharing built in.
Yes. We migrate
from on-prem warehouses (Teradata, Oracle, Netezza, SQL Server, Hadoop) and cloud
warehouses (Redshift, BigQuery, Synapse), with schema conversion, data validation, and a
phased cutover.
It depends on the size and complexity of
your current environment and workloads. A focused migration can take a few weeks to a
few months; we scope it precisely after an assessment.
Snowflake charges separately for storage and per-second compute (credits). We control cost through warehouse right-
sizing, auto-suspend, resource monitors, query tuning, and consumption governance
(FinOps).
We set auto-suspend/auto-resume,
right-size warehouses to workloads, apply resource monitors and credit alerts, tune
expensive queries, and review consumption regularly to keep spend predictable.
We build ELT with dbt, Snowpipe for
continuous ingestion, Streams and Tasks and Dynamic Tables for incremental processing,
and tools like Fivetran, Airbyte, Kafka, and Airflow where they fit.
Snowpark lets you run Python, Java, or Scala code — including ML
— directly inside Snowflake, next to your data, without moving it to a separate compute
environment.
Cortex is Snowflake’s built-in AI, including LLM functions,
Cortex Analyst for natural-language querying over semantic models, Cortex Search, and
Document AI — all running on your governed data inside Snowflake.
Phone
+1 (242) 299-8860Address
1600 McConnor Parkway,
Suite 125, Schaumburg, IL 60173
