Modernize the data infrastructure of a Telecom Regulator in ASEAN. Process millions of large files streaming in provide near real time reporting and alerts. Build descriptive, diagnostic and prescriptive insights along with Fraud analytics
Existing IT systems were nearing end of life. Many new solutions needed by the company were not deployable on the existing infra. The source of data were external and not under the companies. Change in incoming data formats will be know post-facto.
Modernise data mediation, rules engine, data pipelines, warehouse and reporting infrastructure. Implement a single solution that spans across all functional and technical subsystems. Enable high degree of automation. Provide the agility to quickly adapt to inconsistencies incoming data
Design, develop and deploy the solution on turn-key basic with full responsibility of delivery. Arrive at the technology stack and gain acceptance within the client organization. Satisfy the Nonfunctional requirements of various stakeholders and manage solution’s incremental development model
Oracle 19c RAC Database
Python
Apache Airflow
Talend Data Fabric –Big data edition
Apache Spark
Kubernetes
Drools BRMS
Object Systems ASN.1
RHEL Linux