Jul 2022 – Present · 3 yrs 8 mos · Dubai, United Arab Emirates

• Data Experience Highlights
• 1. As part Architecture Review Board devised a Careem level services disaster recovery plan. Enhanced
• disaster recovery, eliminating single points of failure and re-architecting multi-tenant deployments.
• 2. Reduced MTTA/R as On-Call Incident commander for Careem across Middle east. Mentored senior engineers to refine their strong skills while addressing growth area
• 3. Created Real-Time Metrics Platform: Enabled live demand and supply monitoring to optimize Careem Transport’s operations.
• 4. Built & Maintained Kafka Platform: Managed Kafka for four years with zero downtime, then successfully transitioned ownership to the infrastructure team, leveraging deep Kafka internals expertise.
• Machine Learning Experience:
• 1. Cross-Functional Collaboration: Partnered with product, engineering, and analytics teams to define ML project goals, roadmaps, and success metrics, ensuring smooth integration into production environments.
• 2. MLOps Best Practices: Designed and implemented robust pipelines for model deployment, monitoring, and automation. Collaborated with AWS service teams to optimize SageMaker for governance, cost efficiency, and scalability.
• 3. Feature Store Development: Created a centralized feature store to accelerate model training and streamline data access for data scientists.
• Generative AI:
• 1. Text-to-SQL Framework: Built a Generative AI-powered solution that converts natural language queries into SQL, boosting analysts’ productivity by 20%.

Jun 2020 – Jul 2022 · 2 yrs 1 mo · Dubai, United Arab Emirates

• 1. Built a C360 Platform: Consolidated customer data into a single unified view across multiple products and services.
• 2. Introduced Apache Pinot: Spearheaded organization-wide adoption of Pinot (Real-Time OLAP store) to power real-time analytics use cases.
• 3. Customized an open-source visualization platform (Superset) and integrated with Apache Pinot to deliver data to dashboards in millisecond latency, significantly boosting performance.
• 4. Launched Flink Operator & Jobs: Set up Apache Flink operator and implemented real-time streaming jobs for immediate data insights.
• 5. Enhanced Trino Query Engine: Integrated Apache Ranger for policy control, introduced caching to reduce S3 API calls by 30%, saving $400K annually.

Apr 2018 – Jun 2020 · 2 yrs 2 mos · Dubai, United Arab Emirates

• 1. Developed an in-house ETL/ELT processing framework with both batch and real-time streaming capabilities, integrated with open-source Delta for ACID compliance.
• 2. Implemented Binlog Streaming Platform: Streamed binlogs from RDBMS for real-time and batch processes, enabling low-latency data updates.
• 3. Multi-Source Data Ingestion: Ingested data from various sources (RDBMS, APIs, CSVs, DynamoDB, etc.) to support diverse business needs.
• 4. Led the migration and integration of Tableau's infrastructure, ensuring scalability and sustainability of the unified platform.
• 5. Played a key role in scaling a data ingestion framework using Spark, boosting data capacity and analytics output.
• 6. Managed in house Airflow DAGs for efficient data ingestion into Data lake(S3), resulting in a 15% reduction in data processing time.