Case studies and field notes from the data trenches
Measurable enterprise outcomes and the write-ups behind them — spanning Microsoft Fabric, Databricks, Snowflake, dbt and governance programs.
82% Faster Query Execution on Microsoft Fabric OneLake
Consolidated 20+ enterprise sources across Azure, AWS and on-premises into a unified Fabric OneLake ecosystem with adaptive Liquid Clustering and predicate pushdown.
Snowflake Performance Optimization — 35% Credit Reduction
Advanced query tuning, micro-partition pruning and clustering strategies delivered ~50% query performance gains and 30% less pipeline downtime.
10+ PB Governance Program with 100% Audit Compliance
Enterprise-grade encryption, masking, row-level and column-level security controls across Azure and Snowflake — reducing unauthorized access attempts by 99%.
Databricks Delta Lake Optimization — 70% Runtime Reduction
Advanced partition pruning, bucketing, compaction and parallel processing eliminated hotspots and cut job runtime from 20 minutes to under 4 minutes.
Microsoft Fabric Warehouse: Adaptive Liquid Clustering Cuts Compute 83%
Applied adaptive Liquid Clustering, incremental statistics and PySpark performance tuning on Fabric Warehouse — turning multi-hour dashboards into sub-minute experiences.
OneLake Multi-Cloud Consolidation: 20+ Sources into One Governed Platform
Consolidated Azure, AWS and on-prem enterprise sources into a single Microsoft Fabric OneLake ecosystem — eliminating six ETL vendors and reducing onboarding from weeks to hours.
Real-Time Intelligence on Fabric: Sub-Second Retail Ops Analytics
Deployed Fabric Real-Time Intelligence (Event Streams + Eventhouse + Reflex) for a retail operations team — replacing a legacy Kafka + custom-service stack with a single governed platform.
