Data engineering leader with 14 years’ experience delivering secure, scalable data and integration solutions for banking and
retail.
• Led technical discovery and stakeholder workshops to produce governance-aligned HLD/LLD, impact assessments, and
solution roadmaps.
• Architected and implemented ETL/ELT pipelines (PySpark, Python, SQL); migrated on-prem Hadoop workloads to Azure
Synapse & Spark pools, reducing data processing time by 42%.
• Built CI/CD pipelines (GitHub, Bitbucket, Jenkins) and automated testing/deployments—improving development efficiency
by 34% and production reliability.
• Owned data quality, monitoring, incident response, and disaster recovery for critical pipelines; tuned Spark jobs and ETL
workflows to improve throughput and SLAs.
• Hands-on with Big Data ecosystems (Spark, Hive, HBase, Hadoop), cloud (Azure Synapse, Data Factory), integration
tools (Informatica, IICS, IBM Sterling) and PL/SQL.
• Domain expertise in Supply Chain (Blue Yonder/JDA: Fulfillment, Demand Manager, Transport) and Banking HR systems.
• Mentored 15+ engineers and led cross-functional vendor and business teams to deliver programs end-to-end and drive
continuous improvement.