Data Architect | Principal | Databricks, Apache Spark, AWS, Data Science

Data Architect and Senior Data Engineer

I am a Data Architect and technical leader with 12+ years of experience designing, building, modernizing, and scaling data platforms across FinOps, cloud infrastructure, analytics, Data Science, and AI. I am a Databricks Certified Data Engineer Associate, with a background combining hands-on engineering, architecture ownership, technical leadership, and delivery of production systems operating at billion-row scale.

Data Architecture and Engineering

I specialize in large-scale data platforms, distributed processing, data architecture, ETL/ELT, data modeling, platform modernization, and performance optimization. My core stack includes:

• Apache Spark, PySpark, Databricks, Delta Lake, Unity Catalog, Delta Live Tables
• Python, Scala, Java, SQL
• AWS, Kubernetes, Docker
• ClickHouse, PostgreSQL, MongoDB
• Airflow, Kafka, dbt, Kubeflow
• Data warehousing, dimensional modeling, governance, and data quality

I have architected systems processing 2+ billion rows per workload and currently work on FinOps pipelines handling up to 2.5 billion rows per run. I led architecture and benchmarking for a distributed ClickHouse platform, including sharding, partitioning, storage design, ingestion, and query optimization. The POC achieved a 79% reduction in median query latency and reduced a six-month data load from five days to one day.

Spark, Databricks and Lakehouse

I am a Databricks Certified Data Engineer Associate with extensive experience in Apache Spark and distributed data processing, including cluster sizing, memory optimization, data-skew mitigation, partitioning, and workload optimization. My Spark optimizations have reduced processing time by 30% and infrastructure cost by 15% on workloads exceeding 2 billion rows. I also led an architectural evaluation and POC for migrating a large-scale multi-cloud processing platform to Databricks, covering architecture, technical feasibility, cost, engineering resources, and migration planning. My broader lakehouse experience includes PySpark, Delta Lake, Unity Catalog, and Delta Live Tables.

Cloud and FinOps

A major specialization throughout my career has been FinOps and cloud-cost data platforms. I have built systems for multi-cloud cost ingestion, normalization, attribution, anomaly detection, forecasting, Kubernetes cost allocation, and optimization recommendations. My AWS experience includes EMR, S3, Redshift, Athena, Kinesis, Lambda, DynamoDB, EC2, SQS/SNS, and EKS/ECS. The platforms I have helped build have supported major enterprises and analyzed hundreds of millions of dollars in cloud spend.

Data Science and AI

My experience extends into Machine Learning, MLOps, and Generative AI, including:

• Time-series forecasting and anomaly detection
• Kubeflow and model evaluation
• RAG and ReAct-based AI systems
• MCP and agentic workflows
• Generative AI application development

I currently maintain a Generative AI assistant for financial data with agentic data retrieval, summarization, and comparison capabilities, and use AI-assisted workflows for data engineering and architecture work.

Technical Leadership

I have led local and distributed engineers while remaining deeply hands-on. My responsibilities have included architecture ownership, technical decision-making, platform design, mentoring, POCs, performance optimization, and delivery of production systems. I enjoy roles where I can combine deep engineering with architectural leadership and solve difficult problems involving scale, performance, reliability, and cost.

Opportunities

I am interested in Principal, Staff, Lead, and Architect-level opportunities involving:

• Data Architecture and Data Platforms
• Databricks, Spark, and Lakehouse
• Cloud Data Architecture
• Data and AI Platforms
• FinOps and cloud-cost engineering
• Distributed systems and large-scale analytics
• Platform modernization

I am particularly interested in opportunities in Saudi Arabia, UAE, and the wider GCC and am open to international relocation for the right role.