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Abbas User

@abbasuser1

Azure Data Engineer with 5.7 years building governed, scalable data platforms on Microsoft Azure for enterprise analytics.

India
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What I'm looking for

I’m looking for a senior Azure data engineering role where I can build governed, reliable, cost-efficient data platforms and ETL/ELT pipelines—partnering with stakeholders on observability, performance tuning, and CI/CD automation for enterprise analytics.

I’m an Azure Data Engineer with 5.7 years of hands-on experience designing, building, and operating scalable data platforms on Microsoft Azure. I specialize in end-to-end ETL/ELT pipelines that process millions of records daily and support analytics and reporting across healthcare, banking, and enterprise analytics.

I bring strong data governance and security fundamentals, using Unity Catalog and RBAC to deliver lineage visibility and secure access management. In a healthcare data modernization effort, I enforced enterprise governance across 400+ analytical tables and 80+ consumers, while also improving query performance by 40% through a layered Delta Lake lakehouse model.

I’m focused on reliability, cost efficiency, and operational excellence. I introduced automated data reliability mechanisms (validation rules, anomaly detection, health checks) to reduce persistent data reliability issues by 25%, and I streamlined CI/CD and deployment workflows with Azure DevOps to cut deployment time by 40% while reducing pipeline execution costs by 20%.

Beyond the Azure core, I’ve delivered platform capabilities for real-world analytics—building an IPL analytics pipeline with Python and Apache Cassandra, and delivering Spark-based customer behavior analytics on large transactional datasets. I also collaborate closely with business stakeholders and engineering teams to implement monitoring, data quality controls, and observability dashboards that reduced data-related production incidents by 35%.

Experience

Work history, roles, and key accomplishments

YB

Banking Recommendation Engine

YES Bank

Delivered Spark-based data pipelines for customer behavior analytics processing 8–12 TB of transactional data using Azkaban-orchestrated workflows. Tuned Spark SQL to reduce critical BI dashboard query latency by 35% while improving governance/metadata and security controls, reducing data quality issues by 20% and exposure risk by 25%.

Education

Degrees, certifications, and relevant coursework

RT

Rajeev Gandhi Memorial College of Engineering & Technology

Bachelor of Technology (B.Tech) / Bachelor of Engineering (B.E.), Mechanical Engineering

Completed a B.Tech/B.E in Mechanical Engineering at Rajeev Gandhi Memorial College of Engineering & Technology in 2019.

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