Senior Data Engineer | 9+ Years Experience | Big Data, ETL/ELT, Python, Kafka, Spark, AWS/GCP

Summary:

I am a results-oriented Senior Data Engineer with 9+ years of experience designing scalable data platforms, real-time streaming pipelines, and cloud-native ETL/ELT solutions. I specialize in building reliable, high-performance systems across AWS, GCP, and modern big-data technologies. I bring a strong mix of technical depth, problem-solving ability, and hands-on execution.

Core Skills & Expertise:

• Big Data & Processing: Spark, Kafka, Airflow, Hadoop
• Programming & Data Workflows: Python, SQL, Java, ETL/ELT design
• Cloud Platforms: AWS (S3, Glue, Lambda), GCP (BigQuery, GKE)
• Databases: MySQL, MongoDB, Cassandra
• DevOps & Tools: Docker, Kubernetes, CI/CD
• Other: Data modelling, real-time analytics, system optimization

Work Experience & Achievements:

• Built scalable batch and real-time ETL pipelines using Spark, Kafka, and Airflow—cutting data processing time by 50% and improving reliability.
• Designed BigQuery-based analytics layers that enabled business teams to reduce reporting latency by 70%.
• Migrated legacy ingestion flows to AWS Glue + S3, increasing throughput and reducing monthly compute costs by 35%.
• Led the development of API-driven data integrations and streaming ingestion pipelines supporting millions of daily events.

Looking For:

I’m seeking a Senior/Lead Data Engineering role where I can build high-impact data platforms and drive performance, scalability, and architectural excellence. I am fully open to relocating to Dubai and excited about contributing to fast-growing, innovation-focused teams.