Project delivered

Portfolio of Excellence

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Cloud-Native Graph Pipeline for Automotive Data Integration– Motors, USA

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Delivered scalable cloud-based data pipelines using AWS Lambda, Step Functions, ECR, and ECS to automate multi-stage data transformations, culminating in seamless Neo4j integration. Implemented ETL workflows using Apache Hop and Kettle Remix for S3-to-graph loading. Developed domain-specific graph models for automotive manufacturers and enabled data accessibility through Cypher and Gremlin queries. Production rollouts were streamlined using Octopus Deploy.

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Optimizing Enterprise Graph Infrastructure for Retail Intelligence – Kroger, USA

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Provided end-to-end support for Neo4j-based data ecosystems, including the design of graph models and ingestion pipelines into HA clusters. Optimized Cypher queries for enhanced API response times and enabled tight integration between backend and frontend layers for graph-driven applications.

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Cloud Migration and Performance Tuning for Graph Databases – Village Startup, Lebanon

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Handled the complete migration of Neo4j databases from AWS EC2 to Google Cloud Platform using native GCP APIs. Ensured data consistency and application stability, while optimizing graph structures and Cypher queries to resolve performance bottlenecks.

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Telemetry Graph Modeling for Predictive Fault Detection Dell, USA

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Developed proof-of-concept telemetry graph models using Neo4j, Bloom, and Linkurious to proactively detect remote Dell device faults. Enabled predictive diagnostics and alert generation to enhance customer support operations.

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Big Data Ecosystem for Digital Twin Analytics – GATE, Sofia University, Bulgaria

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Set up a containerized big data ecosystem with HDFS, Hive, Neo4j, NiFi, MongoDB, and PostgreSQL. Built robust data pipelines from MongoDB and PostgreSQL into HDFS using NiFi and Sqoop. Executed distributed Spark-ML algorithms as part of a Digital Twin initiative.

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Graph-Driven ETL Architecture for Financial Data Insights – Mashreq Bank, Dubai

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Designed end-to-end ETL pipelines to extract relational data from Azure Catalog Hive and load into Neo4j servers using Apache Hop. Enabled graph-powered analytics and improved data accessibility for business teams.

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Enterprise Data Platform Transition & Graph Administration – Vodafone, Portugal

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Led the transition of the data platform from external vendors to internal teams. Managed complex ETL workflows across heterogeneous systems including KENAN, SIEBEL, SAP, and Digital platforms. Supported financial operations through OLAP processing, root-cause analysis, business intelligence reporting, and automation of monthly billing processes. Oversaw Neo4j administration, cluster setup, monitoring, and backup strategies.

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Database Automation, Optimization & Disaster Recovery Solutions – E*Trade Banking and Financial Services

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Delivered enterprise-grade database support, including installation, upgrades, automation, and performance tuning for Neo4j, ASE, and MySQL. Managed data replication, disaster recovery, consistency checks, and space audits. Handled end-to-end database builds, scripting, and admin-level access control to ensure operational integrity and security.