نبذة عني
Associate Manager & Data Engineer with 12+ years of enterprise IT experience across financial services, healthcare and logistics domains. Lead a team of Data Engineers on the Azure stack, overseeing end-to-end pipeline d…
Associate Manager & Data Engineer with 12+ years of enterprise IT experience across financial services, healthcare and logistics domains. Lead a team of Data Engineers on the Azure stack, overseeing end-to-end pipeline delivery, code quality, and stakeholder engagement at Accenture. Hands-on expertise in Python, SQL, Pandas and PySpark for data transformation, pipeline development, and large-scale analytical workloads. Proficient in Azure Databricks, Delta Lake, Azure Data Factory (ADF), dbt, and Azure Synapse Analytics. Strong foundation in enterprise SDLC, data governance, audit compliance and regulated-environment delivery. Expert in Mainframe Technology including JCL, VSAM, CICS and COBOL.
الخبرة
Associate Manager - Data Engineering
<p>Designed enterprise data flow architecture across 10 logistics applications, ensuring end-to-end pipeline integrity and SLA compliance.</p><p> Built scalable data pipelines and metadata-driven pipelines using Delta Lake and Kafka for real-time processing using Medallion Architecture.</p><p> Optimized PySpark jobs cutting processing time by 70% and production platform stability by leading PostgreSQL upgrades, VM migrations, and SSL renewals with zero pipeline downtime.</p><p> Implemented distributed pipeline monitoring using Dynatrace, accelerating root cause analysis across REST APIs and microservices.</p><p> Collaborated with infrastructure, DBA, and application teams to resolve production bottlenecks and improve data platform reliability.</p><p> Led technical operations supporting 40+ engineers, driving incident response, release coordination, and continuous service improvements.</p>
Data Engineer
<p>Built and maintained end-to-end data ingestion and transformation pipelines supporting clinical and operational analytics across a large healthcare enterprise.</p><p> Developed Python (Pandas / PySpark) scripts for data preprocessing, cleansing, and feature engineering on structured and semi-structured healthcare datasets.</p><p> Designed SQL-based data models using complex CTEs, window functions, and optimised queries; supported cloud migration by contributing to Azure Databricks POCs and benchmarking.</p><p> Conducted root cause analysis on pipeline failures, applying permanent fixes to improve system stability, data integrity, and downstream reporting reliability.</p><p> Ensured strict data governance and audit compliance, mentored junior engineers on pipeline design, best practices, and SOP documentation.</p>
Mainframe Technical Lead
<p>Led mainframe development and support across core banking applications in a highly regulated Citi Bank environment, ensuring strict compliance with security and confidentiality standards.</p><p> Designed SQL-based data extraction and transformation scripts from DB2 for regulatory reporting, reconciliation, and audit; collaborated with analytics teams on cross-platform data integration.</p><p> Drove early-stage Python data pipeline automation, reducing manual batch reconciliation effort and improving data delivery timelines across critical banking workflows.</p><p> Managed critical batch job abends, outages, and production incidents with both temporary and permanent fixes, maintaining system stability and data integrity under SLA pressure.</p><p> Led automation initiatives and mentored 10+ developers through code reviews and continuous improvement, significantly enhancing team throughput and delivery quality.</p>
Mainframe Developer
<p>Developed and maintained enterprise COBOL/CICS applications supporting high-volume retail batch processing.</p><p> Modernised legacy batch programs, increasing processing speed by 25% and reducing system downtime through optimised JCL and COBOL code.</p><p> Proactively tracked and documented production issues, achieving zero audit exceptions across three consecutive audit cycles.</p><p> Coordinated quarterly system updates, RCA sessions, and change management activities to ensure seamless operations.</p>