DATA & ANALYTICS
Turning Raw Data into Business Intelligence
Modulinks helps organisations move from fragmented data silos to unified, governed, and analytics-ready data platforms. Our data engineers, architects, and analysts work together to build the infrastructure, pipelines, and dashboards that make data a genuine organisational asset.
We have deep experience with regulated data in Healthcare (HL7/FHIR, HIPAA), Insurance (actuarial data, claims), Banking (Basel, transaction data), and Telecom (CDRs, network data) — meaning we handle your data with the care and compliance rigour it demands.
Lakehouse architectures on Snowflake, Databricks, or BigQuery — combining the flexibility of data lakes with the governance of data warehouses.
Streaming data pipelines with Apache Kafka and Spark Streaming for operational analytics, fraud detection, and live dashboards.
Power BI, Tableau, and Looker implementations with semantic layers, row-level security, and embedded analytics.
Lineage tracking, data cataloguing (Collibra, Alation), quality rules, and master data management frameworks.
Data Warehouse & Lakehouse
Design and build of cloud data warehouses (Snowflake, Redshift, BigQuery) and lakehouse architectures (Delta Lake, Apache Iceberg) for petabyte-scale analytics.
ETL / ELT Pipelines
Batch and streaming data pipelines using dbt, Apache Airflow, Fivetran, and custom Python/Spark jobs — with automated testing and alerting.
Business Intelligence
Dashboard and report development in Power BI, Tableau, or Looker — from executive scorecards to operational drill-downs and embedded analytics.
Advanced Analytics & Modelling
Statistical modelling, cohort analysis, customer segmentation, and propensity scoring that go beyond standard BI to answer the "why" and "what next".
Data Mesh & Governance
Domain-oriented data ownership models, data contracts, and governance tooling that scale data operations without creating bottlenecks.
Data Migration
Structured migration of legacy data warehouses (Teradata, Oracle, on-prem SQL Server) to modern cloud platforms with zero data loss and minimal downtime.