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G-TECH Services, LLC

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Complex challenges. Accountable outcomes.

See how specialized expertise, flexible delivery, and disciplined execution help organizations move critical engineering and technology work forward.

Professionals reviewing engineering and business performance

Snowflake and Informatica

Building a Trusted Snowflake Lakehouse for a Leading U.S. CDMO

Building a Trusted Snowflake Lakehouse for a Leading U.S. CDMO

A leading U.S. contract development and manufacturing organization needed to accelerate data onboarding, improve data quality, and establish dependable lineage across its operations.

Approach

G-TECH applied a standard architecture tailored to the client’s operating model: reusable batch, change data capture, and streaming ingestion patterns; clear Bronze, Silver, and Gold data layers; and embedded quality, lineage, and governance controls.

Solution

The team used Informatica to standardize ingestion and orchestration, then built a governed Snowflake lakehouse with enforceable data quality rules, transparent lineage, and audit-ready controls. The architecture also created a scalable foundation for analytics and future AI use cases.

Results

Data onboarding time fell 75 percent, moving from weeks to days. The organization achieved trusted, governed data and audit-ready lineage across the platform without compromising scalability.

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Databricks

Modernizing a SaaS Data Platform with a Governed Databricks Lakehouse

Modernizing a SaaS Data Platform with a Governed Databricks Lakehouse

A SaaS company needed to replace fragmented pipelines, inconsistent metrics, and limited governance with a trusted data foundation for enterprise analytics and AI.

Approach

G-TECH began with the company’s business outcomes and highest-value analytics, machine learning, and generative AI use cases. The team defined a lakehouse-first roadmap and a governed medallion architecture designed to scale from reliable data engineering to production AI workloads.

Solution

The team implemented a Databricks Lakehouse governed through Unity Catalog, standardized Delta Lake pipelines with incremental processing, and established end-to-end lineage, access controls, and auditability across the data estate.

Results

Processing became three times faster, reducing workloads from hours to minutes. Every dataset is now tracked and governed, and the platform supports advanced analytics and AI at enterprise scale.

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SharePoint

Building an Agile SharePoint Delivery Model for a Major Bank

Building an Agile SharePoint Delivery Model for a Major Bank

A Fortune 1000 bank needed a faster, more cost-effective way to design and deliver SharePoint applications for business teams without diverting resources from other critical technology initiatives.

Approach

G-TECH established an off-site Agile delivery team aligned with the bank’s software development lifecycle and project management standards. AWS-based development and test environments enabled secure collaboration and rapid response to new application and enhancement requests.

Solution

Senior SharePoint architects, developers, and administrators provided on-demand design, development, testing, deployment, and enhancement services. The flexible delivery model gave the bank dependable access to specialized expertise as priorities changed.

Results

The bank reduced delivery costs and improved response times for SharePoint requests while keeping internal IT teams focused on other mission-critical programs.

View case study → Download PDF ↓

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