Actively Looking for Work
with over 7 years of experience building scalable, cloud-native data platforms and real-time analytics pipelines. My expertise spans across Python, SQL, PySpark, Apache Airflow, Kafka, Databricks, and Azure Data Factory, with proven success in designing end-to-end data engineering solutions for top-tier companies like:
I've architected high-throughput ETL workflows, optimised Spark jobs reducing latency by 50%, and built data lakes that serve 20M+ daily records. My work has directly enhanced machine learning operations, ad-serving intelligence, and enterprise reporting efficiency.
Certified as a Microsoft Azure Data Engineer Associate (DP-203), I’m passionate about delivering robust, production-grade systems using modern data stacks, cloud infrastructure (Azure & AWS), and DevOps practices (CI/CD, Docker, Git). I'm known for turning business problems into data-first solutions with measurable impact.