Our Success Stories

Developed a fully automated data pipeline to aggregate and display key performance indicators for cities and countries, providing critical insights to high-level government stakeholders.

Executed a successful, zero-downtime migration from the legacy 'Mawaheb' employment system to a modern platform, ensuring data integrity and business continuity.

Architected and built a centralized data warehouse to consolidate transactional data from various sources, enabling powerful analytics and a single source of truth.

Engineered a high-throughput, secure data streaming solution using Kafka and SQL Server to process encrypted, sensitive data in real-time, ensuring both security and performance.

Drastically improved the performance and reliability of the national e-invoicing system under the eFinance umbrella through advanced performance tuning.

Implemented a robust, value-driven High Availability and Disaster Recovery solution for Yelo in KSA, ensuring business continuity without breaking the bank.

Successfully migrated Glassdoor's critical SQL Server databases to a managed AWS RDS environment, enhancing scalability and reducing operational overhead.

Provided comprehensive database administration for NFI's large-scale environment of over 100 servers across multiple technologies in the US.

Managing a 400+ branch environment with high availability, disaster recovery, and rapid replication solutions across KSA.

Delivered a bespoke Power BI solution with row-level security, providing powerful, controlled analytics to government stakeholders.

Built a multi-tenancy reporting solution to automatically collect, analyze, and serve tenant-specific reports, enhancing product value.

Utilized advanced analytics to identify customer segments with a high probability of accidents, enabling proactive risk management.

Provided ongoing expert support to create advanced reports, helping Kantar deliver powerful campaign insights to their clients.

Architected a high-performance big data solution using Dremio, Airflow, and SQL Server to replace a legacy system, enabling analysis of petabyte-scale datasets.

Replaced a legacy DB2 mainframe system with a scalable, high-performance database, ensuring the future-readiness of Egypt's critical social insurance infrastructure.

Re-architected a monolithic database schema for a high-growth e-commerce client, improving query performance by 300% and eliminating bottlenecks during peak sales events.

Designed and implemented a multi-technology database system using SQL Server and MongoDB to handle both transactional and unstructured data with optimal performance and scalability.