Accelerating Enterprise Data Consolidation: Engineering Snowflake-powered Integration Framework for Multi-System Analytics

A US-based waste management company required rapid integration of acquired company data into their existing Snowflake analytics infrastructure. The organization faced significant challenges consolidating data from multiple source systems within strict regulatory and operational timelines, while maintaining data integrity across 250+ tables and 100+GB of historical information.

To meet aggressive timelines, OptiSol provided specialized Snowflake engineers and data integration experts through a T&M engagement model, rapidly scaling technical capacity while ensuring seamless collaboration with the client's existing teams.

Working within a critical 90-day implementation window, OptiSol delivered a comprehensive Snowflake-powered integration framework using AWS services, DBT, and Informatica. This solution established standardized data consolidation patterns that reduced integration timelines by 50% while ensuring complete data quality and business continuity.

The implementation created a repeatable framework for future acquisitions, establishing new operational standards for enterprise data integration efficiency and analytics readiness.

Key Outcomes

50%

Reduction in Integration Timeline

250+

Tables Successfully Integrated

100+GB

Historical Data Consolidated

90-Day

Implementation Timeline Met

Challenges and Solutions

Data Integration Diversity

Multiple source systems including cloud ERP, CRM, and legacy applications with varying data structures required integration into a unified Snowflake platform while preserving data integrity and system relationships.

Solution

Implemented standardized data integration patterns using Snowflake's Modern Data Architecture to consolidate disparate source systems into the existing ODS, enabling unified analytics capabilities through automated schema mapping and relationship preservation.

Scale and Performance Requirements

Complex data pipeline requirements needed to handle 100+GB of historical data and ongoing incremental loads across 250+ tables while maintaining optimal Snowflake ODS performance.

Solution

Developed automated integration framework using AWS services, DBT and Informatica that orchestrated both historical and incremental data loads, ensuring data consistency and availability with optimized performance patterns.

Time-to-Value Constraints

Strict 90-day timeline to make acquired company data available for analytics required rapid yet reliable Snowflake integration while maintaining data quality and business continuity.

Solution

Created repeatable integration patterns with ready-to-use templates and configurations, accelerating future acquisition data onboarding and reducing implementation timelines while maintaining enterprise-grade standards.

Technology Standardization

Required repeatable framework to standardize diverse data sources into Snowflake's Modern Data Architecture, ensuring consistency across future acquisitions.

Solution

Implemented comprehensive monitoring using AWS CloudWatch combined with data validation frameworks, ensuring data quality and providing real-time visibility into integration status with automated alerting mechanisms.

Rapid Skill Deployment for Snowflake Modernization

Meeting the 90-day timeline required immediate access to specialized Snowflake, DBT, and AWS integration expertise that wasn't available in-house within the required timeframe.

Solution

OptiSol deployed a dedicated team of Snowflake-certified engineers and data integration specialists through flexible T&M staffing, providing immediate technical capacity while working alongside internal teams to build lasting institutional knowledge.

Our approach

Comprehensive System Analysis

Analyzed data structures across 250+ tables spanning cloud ERP, CRM, and legacy applications, identifying integration requirements and establishing unified Snowflake ODS architecture patterns.

Automated Pipeline Development

Built intelligent data integration framework using AWS services, DBT and Informatica capable of handling large-scale historical loads and real-time incremental updates—ensuring data consistency across all source systems.

Repeatable Framework Creation

Established standardized integration templates with pre-configured patterns, enabling accelerated future acquisition onboarding and consistent implementation across Snowflake's Modern Data Architecture.

Enterprise Monitoring Implementation

Deployed comprehensive monitoring system using AWS CloudWatch with integrated data validation frameworks—providing real-time integration visibility and automated quality assurance capabilities.

Scaled Technical Capacity

Provided specialized Snowflake and AWS data engineers through flexible T&M engagement, ensuring rapid skill deployment while facilitating knowledge transfer to internal teams for sustainable platform operations.

Extending Enterprise Workforce Management Platform Lifespan with AI-Powered Modernization

A US-based enterprise workforce management organization faced a critical decision regarding their 20+ year-old business-critical employee absence and scheduling platform built on PowerBuilder.

The EQAI system, serving as the operational backbone for managing employee absences, scheduling, and time-off requests across multiple facilities and thousands of users, required modernization to address increasing technical debt, outdated user interfaces, and scalability challenges brought on by frequent acquisitions and growing workforce populations.

Rather than pursuing a risky full replacement, OptiSol deployed a two-phase AI-powered modernization strategy: Phase 1 leveraged PB Studio AI agents to automatically modernize UI/UX while maintaining the PowerBuilder foundation, and Phase 2 introduced PB Shift to gradually migrate the architecture to a modern 3-tier web platform. This intelligent approach reduced modernization effort by 40-60% while extending the platform's viability by over six years and establishing a clear path toward complete architectural transformation.

Learn more

Accelerating Data Migration with AI-Powered Automation

A US-based organization managing critical employee absence and scheduling systems required rapid data migration from their legacy AESOP platform to a modern EQAI system.

Facing complex data transformation requirements across multiple environments and strict validation needs, the organization needed to ensure zero data loss while maintaining business continuity throughout the migration.

OptiSol deployed the iBeam Accelerator framework, an AI-powered migration suite that automated schema mapping, data transformation, and validation processes. This intelligent automation reduced manual migration efforts by 97%, transforming a 48-hour validation process into 30 minutes while ensuring 100% data accuracy across 25,000+ records.

Learn more

Modernizing Data Analytics for a Leading Ed-Tech Platform

A leading US-based online learning platform with millions of users struggled with fragmented data infrastructure spread across siloed systems including PostgreSQL, BigQuery, and Oracle databases. The legacy BI system faced performance bottlenecks that delayed decision-making and prevented business user autonomy.
OptiSol provided a dedicated team of data engineers and analytics specialists working in a T&M model, ensuring rapid skill deployment and flexible resource scaling throughout the transformation journey. This talent augmentation approach allowed the client to maintain velocity while building internal capabilities for long-term platform ownership.
To address these challenges, the organization partnered with OptiSol to modernize its data analytics platform. OptiSol designed and implemented a Medallion architecture with Oracle Analytics Cloud, consolidating the complex data ecosystem and automating deployment pipelines. This transformation delivered a scalable, self-service data platform that accelerated data-driven decision-making, reduced deployment risks, and empowered business teams to derive actionable insights from vast content and user engagement data.

Learn more

Intelligent Patient Prescription Validation Platform

A leading US-based healthcare network struggled with manual prescription validation workflows that created operational bottlenecks, increased administrative costs, and delayed patient care. Their pharmacy teams spent hours manually verifying insurance coverage, checking drug interactions, and processing prescription requests—leading to patient dissatisfaction and revenue leakage during peak periods.

To stay competitive and improve patient outcomes, the organization partnered with OptiSol to reimagine their prescription processing pipeline. The result: a comprehensive automation platform that seamlessly handles prescription validation, insurance verification, and clinical decision support dramatically reducing processing time, eliminating errors, and enhancing patient experience.

This transformation didn't just streamline operations; it set a new benchmark for prescription processing efficiency, patient safety, and operational excellence in modern healthcare delivery.

Learn more

An Intelligent Report Extraction and Content Publishing Platform

A leading US-based real-time financial news provider faced a critical challenge: their editorial team struggled to keep pace with the relentless demand for up-to-the-minute corporate earnings coverage. Manual extraction of key financial metrics like EPS and revenue from complex, inconsistent PDF reports led to exhaustion and costly human errors—just as market expectations for instant, accurate updates soared.

To stay ahead, the company partnered with OptiSol to reimagine its news creation pipeline. The result: a cutting-edge AI-powered automation solution that seamlessly reads thousands of earnings reports daily, extracts vital information, and generates ready-to-publish news stories—rapidly, reliably, and with minimal human intervention.

This transformation didn’t just streamline operations; it set a new standard for speed, precision, and scalability in financial journalism, empowering the provider to deliver real-time insights when the market needs them most.

Learn more

An AI-Powered Supply Chain Command Center for Fulfillment Optimization

A leading US-based 3rd party logistics service provider needed to unify its siloed planning and execution layers to keep up with rapidly changing consumer demand and increasing delivery expectations. Legacy systems and spreadsheet-driven workflows couldn’t adapt to fluctuating regional market behavior, lacked real-time inventory visibility, and struggled with the complexity of multi-location fulfillment—ultimately leading to rising costs, inefficient warehouse usage, and missed revenue opportunities.

To meet these challenges, the organization partnered with OptiSol to build an intelligent supply chain command center—an AI-powered platform that bridges the gap between demand forecasting and fulfillment execution. The result: data-driven insights that drive smarter inventory positioning, reduce delivery costs, and ensure timely, optimal customer fulfillment at scale.

Learn more

Ready to turn your supply chain into a real-time command center?

Discover how OptiSol can help you build intelligent solutions that execute on your boldest ambitions.

Contact us at:

info@optisoltechnologies.com