Ash Mazhar
I'm a data engineering professional with more than a decade of experience designing and delivering scalable data pipelines and real-time analytics across AWS, Azure, and Google Cloud.
About
I’m a data engineering professional with more than a decade of experience designing and delivering scalable data pipelines and real-time analytics across AWS, Azure, and Google Cloud. I specialize in building cloud-native data warehouses, streaming architectures, and governance frameworks that enable cross-functional teams to turn data into actionable insights.
I enjoy collaborating with product and analytics teams to translate business needs into robust technical solutions, automate repetitive work, and accelerate onboarding. I value reliability, security, and measurable impact in dynamic, fast-paced environments.
- 13 years' experience
- Joined October 2025
Skills· 13
Languages
- EnglishFluent
Industry experience
- Software & Internet
- Professional Services
Work experience· 4 roles
Designed and implemented a real-time streaming data lake on AWS, enabling unified analytics across structured and semi-structured data. Led migration of legacy systems to cloud-native architecture, built scalable cloud data warehouses, and established governance with GDPR/HIPAA alignment. Implemented ELT/ETL pipelines with Airflow and Spark, optimized the ELK stack, and enabled enterprise BI reporting across teams, improving onboarding and data reliability.
Built real-time streaming pipelines with Kafka and incremental ETL to reduce data latency from hours to minutes. Designed and deployed data lakes and data marts on cloud platforms, integrated Open Metadata, and implemented data governance with RBAC. Automated ingestion and schema evolution using Terraform and Airflow; supported cloud migration and accelerated analytics delivery.
Designed and implemented streaming joins and aggregations; automated data ingestion pipelines; contributed to data governance and compliance efforts. Migrated on-prem data processing to cloud environments, built self-serve datasets for analytics, and improved data quality and reporting accuracy.
Certifications and awards
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