Oil & Gas · E&P operator
Upstream Operations & VOC Monitoring Platform
SAP HANA + Spotfire pipeline for real-time production allocation and emissions tracking
View case study →Service
Data Engineering
Reliable pipelines and modern warehouses that make analytics trustworthy at scale.
Typical timeline · 10–16 weeks
Delivery architecture
ERP/CRM
Ingestion
Warehouse
dbt
Trusted data
01ERP/CRM
02Ingestion
03Warehouse
04dbt
05Trusted data
Delivery progress
Challenges
- Siloed source systems with no reliable integration layer
- Batch jobs that fail silently or deliver stale data
- No governed path from raw data to certified metrics
Outcomes
- Documented, monitored ingestion from critical systems
- Warehouse architecture designed for analytics workloads
- Certified datasets ready for BI and AI consumption
Engagement process
01
Discovery
Map decision workflows, data sources, and KPI gaps. Align stakeholders on outcomes before architecture.
02
Architecture
Design the data platform, integration patterns, and semantic model. Validate against security and compliance requirements.
03
Build
Deliver pipelines, certified datasets, and dashboards in phased releases. Parallel-run against existing reports where needed.
04
Enable
Train business teams, document KPI ownership, and establish refresh monitoring. Transition to managed operations.
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Led by Ayush Dubey, Principal Data Platform & AI Consultant.