The challenge involved scaling a data infrastructure to support high-frequency ingestion and complex analytics for a gaming startup. We implemented a Lakehouse architecture using Spark and Iceberg on S3, integrated Trino for dbt querying, and built Flink-based monitoring.
15x
Capacity Growth
40%
Cost Reduction
99.9%
Reliability
We overhauled the legacy stack to a Modern Data Stack (Snowflake + dbt) and built a semantic matching engine using Sentence-BERT and Faiss. Additionally, a sentiment analysis pipeline was integrated with Slack to proactively manage customer churn.
70%
Query Speedup
60%
Time Saved
18%
Churn Reduction
We eliminated data silos for a distribution utility by architecting a unified network model. By integrating GIS and asset management systems with power-system analysis tools (CYME/ETAP), we enabled geospatial heatmaps of technical losses and automated load-growth scenario testing.
85%
Faster Planning
12%
Loss Reduction
100%
Spatial Visibility
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