20+ enterprise data engineering engagements spanning financial services, EdTech, healthcare, real estate, retail and more — across 3 continents.
2TB+ data estate locked in AWS Redshift driving runaway costs and query bottlenecks.
Full migration to serverless BigQuery + dbt. 62% TCO reduction, 10x query scale.
Global LXP platform stuck on nightly batch — users seeing 24h stale data.
Confluent Kafka CDC pipeline delivering sub-3-minute end-to-end latency.
10-hour SSIS nightly runs delaying reconciliation for entire banking operations.
PySpark modernization — 80% processing reduction. 12M records/min masking engine.
Real estate AI models needed high-cardinality spatial data processed in real-time.
Hybrid multi-cloud geospatial lakehouse with Databricks PySpark spatial processing.
Fragmented data flows and manual reconciliation blocking self-service analytics.
End-to-end governance framework. 40% reconciliation reduction, self-service BI enabled.
12 disparate EMR systems with no unified analytics and strict HIPAA requirements.
Azure HIPAA-compliant platform with row-level security and real-time Synapse pipelines.
E-commerce platform processing 50M+ daily inventory events with stale stock data causing oversells.
AWS Kinesis + Lambda serverless event streaming with 500ms inventory update latency.
Insurance group CXOs waiting 6 hours for daily performance reports from legacy reporting tools.
Snowflake + dbt + Looker stack cutting daily report time from 6h to 15 minutes live.
Telecom operator ingesting 1B+ hourly network telemetry events with no real-time visibility.
Apache Flink + ClickHouse real-time NOC platform with sub-second anomaly detection.
Global logistics company unable to forecast demand with fragmented regional data silos.
GCP multi-region lakehouse unifying 15 regional systems — 35% forecast accuracy improvement.
European bank facing regulatory audit with no automated data lineage or audit trail system.
Apache Atlas lineage graph covering 100% of data assets. Full GDPR compliance certification passed.
Retail chain with 8M customers but no unified profile — personalisation was impossible.
Databricks Customer 360 platform. ML-driven recommendations driving 18% revenue lift.
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