Multiple active engagements across India, the United States, Saudi Arabia, UAE, and Indonesia. Capital markets, banking, CPG, healthcare, talent analytics, regulatory-grade infrastructure.
A greenfield modern data platform that replaced 5 legacy Greenplum estates, spanning market data, regulatory reporting, and multi-asset analytics across primary and disaster-recovery sites, regulator-compliant from go-live.
Trade clearing data platform. Settlement, margining, risk-management workflows. Cloudera-anchored, regulatory-grade audit trail.
Data estate modernization for a multi-BU consumer-goods enterprise. A legacy SQL Server + SSIS estate on Azure was bottlenecking critical Power BI reporting, so we migrated the enterprise to Google Cloud — BigQuery as the enterprise warehouse, Apache Airflow for orchestration, and existing Power BI dashboards repointed to BigQuery to minimize user disruption. Sequenced in agile sprints, one business unit at a time, with zero business disruption.
Talent analytics platform on Azure. Recruiter intelligence, candidate scoring, market-rate benchmarks. Azure-orchestrated pipelines, modern semantic layer for self-service analytics.
SEZ-grade infrastructure for offshore financial services. Surveillance and regulatory reporting on a Cloudera + lakehouse stack.
Banking analytics platform for an inclusive-banking customer base. Credit scoring, portfolio analytics, regulatory reporting. Production for daily banking operations.
Clinical-trials analytics and patient cohort discovery. Site selection, protocol deviation detection, harmonized clinical data integration. Anchor reference for the RxIQ product family.
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Tell us what's in your data and AI stack, what's stalled, and what would change if it worked. We'll share what we've shipped against similar patterns in production, and what makes sense as a first step.
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