Yash Bhalala
Software Engineer 1 @TD
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WORK HISTORY
Software Engineer 1 @TD
Toronto, ON, CA
Migrated legacy batch-processing systems to a custom Python-based ETL framework, achieving a 50% increase in execution speed and reducing technical debt/maintenance overhead by 60%.• Designed and deployed end-to-end data pipelines leveraging REST APIs and Autosys, automating the ingestion of complex financial datasets with built-in error handling and status monitoring.• Orchestrated the integration of 30+ disparate data sources into a centralized financial ecosystem, implementing schema validation and source-to-target mapping to ensure 100% data lineage and accuracy.• Developed complex SQL-based transformation logic to normalize unstructured datasets into high-performance relational models, improving data consistency across the enterprise.• Diagnosed and resolved critical data-load bottlenecks and synchronization issues in production environments, ensuring the integrity of high-stakes financial reporting.• Collaborated with Finance leads (CPAs) to translate complex reconciliation methodologies into automated technical workflows, bridging the gap between business logic and data architecture.• Optimized data processing routines for large-scale financial datasets, implementing efficient join strategies and indexing to enhance reporting performance and transaction matching accuracy.• Delivered iterative data solutions within an Agile framework, managing the full software development lifecycle (SDLC) from design and testing to production deployment and on-call support.
EDUCATION
University of Windsor
Master's degree
Ganpat University
Bachelor of Technology - BTech
ABOUT YASH BHALALA
I am a Software Engineer at TD Bank specializing in the architecture and automation of enterprise financial data systems. With a Master’s in Applied Computing and a background as a B.Tech Gold Medalist, I focus on building resilient, high-performance data infrastructures.Currently, I work on the technical integration and automation strategy for Oracle ARCS, where I developed custom pipelines to automate data retrieval, schema validation, and complex transformations across disparate source systems.I designed high-efficiency data mapping structures and complex analytical queries to synchronize and reconcile large-scale financial datasets.I leverage Autosys for sophisticated pipeline orchestration—handling complex business-day dependencies—while overseeing the full deployment lifecycle (CI/CD) and on-call support for critical banking operations.I am passionate about scaling data architectures and am currently deepening my expertise in the Modern Data Stack, specifically focusing on distributed computing, orchestration, and cloud-native warehousing.
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