Banking & Financial Services
Customer lifecycle models, transactional pipelines, KYC standardization, risk scoring & fraud intelligence reporting.
Data Solutions • Modern Architecture
Transforming Data into Enterprise Intelligence
We deliver scalable data platforms, governed architectures, and analytics solutions that enable confident, data-driven decisions.
Long-term partnerships — design, build, govern and optimize.
Our Core Expertise
Domain-oriented experience + modern multi-cloud engineering.
Domain Expertise
Pharmaceutical & Life Sciences
Clinical data harmonization, SDTM automation, R&D analytics and compliance-driven transformations for global trials.
Consumer Goods (FMCG)
SKU modeling, demand forecasting, distributor/retail integrations, and supply-chain intelligence layers.
Logistics & Supply Chain
Shipment lifecycle analytics, telemetry ingestion pipelines, warehouse throughput and optimization KPIs.
Media & Entertainment
Audience segmentation, content performance intelligence, subscription analytics, revenue and marketing insights.
Technology Expertise
Multi-Cloud Platforms
Azure • AWS • GCP • Hybrid integration and modernization.
Data Engineering
Bronze/Silver/Gold layers, ELT frameworks, CDC, orchestration & quality.
Architecture & Streaming
Event-driven systems, real-time pipelines, metadata & lineage.
Analytics & BI
Semantic layers, dashboards, KPI frameworks and governed reporting.
Portfolio & Case Studies
Domain-driven engineering with measurable business outcomes.
💳 Enterprise Customer Golden Record (Banking)
Unified customer identities across seven banking applications, eliminating duplicates, harmonizing KYC attributes, and establishing a 360° Customer Golden Record. Improved AML/KYC screening accuracy and reduced onboarding validation time while enabling faster regulatory reporting.
Azure • SQL • MDM • Governance🧬 Clinical Trial Data Harmonization (Pharma)
Built automated SDTM conversion pipelines and metadata-driven lineage for Phase II–IV trials across multiple CROs. Delivered audit-ready traceability, standardized global trial datasets, and reduced manual transformation effort.
AWS • Redshift • Glue • SDTM📦 SKU Demand Forecasting Data Hub (FMCG)
Architected a unified SKU, distributor, and retailer demand hub improving forecasting accuracy and reducing stock-outs. Deployed harmonized Silver layer models powering enterprise reporting and supply chain analytics.
Azure Synapse • Power BI • ELT🚚 Shipment Telemetry & Warehouse Analytics (Logistics)
Developed streaming telemetry pipelines integrating GPS, sensor, and operational logistics data. Enabled real-time delay prediction, warehouse throughput insights, and optimized route planning across regions.
Kafka • AWS • Streaming • IoT🎬 Content Performance & Audience Intelligence (Media)
Standardized subscriber, engagement, and revenue data into a unified analytics layer. Delivered content scoring, churn-prediction signals, and marketing recommendation insights improving customer retention strategies.
GCP • BigQuery • BI • Segmentation
Our story — engineering clarity from chaos
Data rarely arrives neat. It trickles in from many places — a legacy billing system, a marketing feed, a warehouse sensor, a nightly export — and each source speaks its own language. We started KonduriX because we like translating those languages. Over time, small fixes became architecture patterns, and patterns became repeatable platforms. Today we design and operate data systems that make noise turn into signal, and signals into confident decisions.
We are engineers and translators: we bridge the gap between the messy truth of operational data and the polished insight a business needs. Our team combines domain intuition (banking, pharma, FMCG, logistics, media) with engineering discipline — so the solutions we deliver are not flashy one-offs, but reliable foundations that persist as the business evolves.
How we work — a simple rhythm
- Listen first: we learn where the pain and opportunity actually are — not where the org chart says they might be.
- Model with domain intent: we shape data models that reflect how people run the business, not just how systems export rows.
- Engineer for trust: lineage, tests, and governance are included by default — trust fuels adoption.
- Deliver iteratively: value as early as possible, with a clear path to scale and operate.
Our work is measured by outcomes: faster insight cycles, fewer incidents, clear ownership, and dashboards that executives actually use. We partner for the long term — not for the slide deck. If a platform is to survive and matter, it must be useful, observable, and owned.