Measurable Impact. Verified Results.
We don't deliver theoretical slide decks. We engineer production data systems that cut cloud compute costs, automate manual work, and generate hard dollar ROI.
Summit Financial: 42% Query Cost Reduction & Real-Time Risk Analytics
The Challenge
An on-premise MS SQL cluster buckling under 800+ concurrent queries during trading hours. Regulatory stress testing reports took up to 6 hours to run, delaying executive risk decisions.
The ADI Solution
Migrated 14TB of historical and transactional data to a Snowflake lakehouse. Implemented automated dbt transformations with incremental models and configured auto-suspend compute warehouses.
The Business Outcome
Risk calculation latency dropped from 6 hours to 14 seconds. Annual cloud compute spend dropped by 42%, while achieving 100% compliance with RBI and international banking audits.
OmniRetail: Dynamic Replenishment Engine Driving 18% Margin Uplift
The Challenge
Frequent stockouts on high-velocity SKUs and chronic overstocking in regional fulfillment centers, resulting in heavy end-of-season markdown penalties.
The ADI Solution
Engineered an Apache Kafka real-time ingestion pipeline connecting 250+ POS points with Databricks Feature Store. Deployed a machine learning demand forecasting model with automated restock triggers.
The Business Outcome
Reduced stockout incidents by 74%. Improved inventory turnover ratio from 4.2x to 6.8x, boosting gross operating margins by 18% in the first two quarters.
MedCore Health: Unified Clinical Data Lakehouse with Zero-Trust Security
The Challenge
Patient test records and doctor notes were stranded in isolated clinic databases. Preparing multi-center diagnostic compliance audits required 4 days of manual extraction and redaction.
The ADI Solution
Architected a HIPAA and DPDP compliant Google BigQuery data lakehouse with automated tokenization, column-level masking, and end-to-end data lineage visualization.
The Business Outcome
Audit compliance report generation time dropped from 4 business days to 45 seconds. Clinical research teams gained real-time, anonymized cohort analysis capabilities.