Real Results for Real Enterprises
See how we've helped companies across oil & gas, fintech, healthcare, and e-commerce transform their data infrastructure.
Global Oil & Gas Major
Azure Data Lake Migration
Legacy on-premises warehouse was processing 50,000+ daily records on infrastructure built for 5,000 — reports took 6+ hours to generate. We migrated 15 years of historical data to Azure Data Lake, built real-time IoT ingestion pipelines for 50+ global facilities, and deployed Power BI dashboards for 15 business units across 3 continents.
How we did it
Week 1–2: Architecture review and data audit across 50+ global facilities
Week 3–12: Historical data migration, lakehouse setup, real-time pipeline build
Week 13–32: Power BI dashboards, UAT, phased rollout across all business units
“Their team delivered what our internal team said would take 18 months — in 8. The real-time visibility across our global operations has transformed how we make decisions.”
— VP Data & Analytics, Global Oil & Gas Major
UK Fintech Startup
Databricks Data Platform Implementation
The trading platform was processing 2M+ daily transactions on legacy SQL Server — peak load caused 4–6 hour reporting delays and compliance teams were working off day-old data. We built a full Databricks lakehouse with Delta Lake, automated real-time trade ingestion pipelines, and Power BI dashboards for traders and compliance teams. Delivered 2 weeks ahead of schedule.
How we did it
Week 1: Schema mapping, SQL Server audit, Databricks environment setup
Week 2–10: Delta Lake build, real-time pipeline, historical data migration
Week 11–14: Power BI dashboards, compliance reporting, UAT and go-live
“We went from day-old compliance reports to real-time monitoring. Our traders now have the data they need when they need it. The team was exceptional.”
— CTO, UK Fintech Startup
US Healthcare Company
Cloud Infrastructure Modernization
Cloud infrastructure had grown organically over 5 years with no governance — 40% of resources were unused, security had 200+ unresolved findings, and deployments took 3–5 days. We conducted a comprehensive architecture review, implemented infrastructure-as-code with Terraform, containerized patient care applications with Kubernetes, and established CI/CD pipelines. Zero downtime throughout.
How we did it
Week 1–3: Full infrastructure audit, security assessment, architecture design
Week 4–18: Terraform IaC implementation, Kubernetes containerization, CI/CD setup
Week 19–24: Phased migration, zero-downtime cutover, team handover and training
“We had 200+ open security findings and deployments that took days. Six months later we have zero critical findings and deploy in under an hour. Remarkable work.”
— Director of Engineering, US Healthcare Company
UAE E-commerce Company
Customer Data Platform Build
Customer data was siloed across 8 systems — web analytics, CRM, order management, and marketing tools couldn't talk to each other. The company had zero visibility into customer lifetime value and personalisation was impossible. We built a unified customer data platform on Snowflake, implemented Airflow pipelines for real-time ingestion, ML models for customer segmentation, and Tableau dashboards for marketing.
How we did it
Week 1–2: Data audit across all 8 systems, Snowflake architecture design
Week 3–14: Unified data platform build, Airflow pipelines, ML segmentation models
Week 15–20: Tableau dashboards, marketing team onboarding, performance tuning
“For the first time we actually know who our customers are and what they want. The 25% conversion lift within 3 months of launch exceeded all our expectations.”
— CMO, UAE E-commerce Company
Global Energy Company
SAP Central Finance Data Pipeline
The company's SAP Central Finance implementation generated 50M+ financial records monthly across 30+ source systems — but reconciliation was manual, took 2 weeks per month, and had 15% error rates. We designed and implemented a complete Databricks pipeline for SAP CFIN data, including group currency conversion logic, automated MERGE operations, and real-time financial reporting dashboards.
How we did it
Week 1–4: SAP CFIN architecture analysis, Delta Lake schema design, pipeline blueprint
Week 5–20: MERGE operations build, group currency conversion, GC_Flag lifecycle logic
Week 21–28: Financial dashboards, reconciliation automation, UAT and production go-live
“Our month-end close went from 2 weeks of manual reconciliation to 2 days of automated processing. The accuracy improvement alone justified the entire investment.”
— CFO, Global Energy Company
European Logistics Company
Multi-Cloud Infrastructure Migration
Legacy on-premises data centres across 12 European locations were costing €2M+ annually in maintenance with 94% uptime — below the 99.5% SLA required by enterprise clients. We designed and executed a full migration to a hybrid Azure/AWS architecture, implemented GitOps CI/CD pipelines, and established a centralised monitoring and alerting platform. All 12 locations migrated with zero unplanned downtime.
How we did it
Week 1–6: Infrastructure audit across 12 locations, cloud architecture design, risk assessment
Week 7–28: Phased migration — 3 locations per sprint, GitOps CI/CD, monitoring setup
Week 29–36: Final cutover, performance optimisation, team training and handover
“Moving 12 locations with zero unplanned downtime seemed impossible. The Zeldan Tech team made it look easy — professional, thorough, and incredibly well organised.”
— CTO, European Logistics Company
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