Sabbir Hossain
Data Engineer @Bell
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WORK HISTORY
Data Engineer @Bell
Toronto, ON, CA
Spearhead the architecture and development of a mission-critical NTS data pipeline, orchestrating multi-stage ETL workflows. Integrates high-volume, disparate data from sources like Maximo and SmartPath APIs into a Teradata data warehouse using Python, SAS DI, and advanced SQL.Resolved systemic data integrity crises affecting the entire historical dataset by leading a root cause analysis that identified a restrictive hardcoded filter. Executed a full historical data recast, increasing data completeness by over 800%(from 1 to 9+ months), rectifying mismatched records, and implementing data quality gates to prevent silent data loss.Enhanced pipeline scalability and performance by an order of magnitude by re-architecting a critical anti-pattern; applied performance optimization principles by replacing a direct join to a 23-million-row live table with a pre-aggregated static reference table, drastically reducing query execution time and mitigating production database load.Developed and refactored a complex, stateful Python algorithm for task duration calculations, implementing a robust two-pass, group-by approach to correctly propagate session IDs across event sequences. This resolved a fundamental algorithmic flaw, ensuring data precision and correctness.Instituted data warehousing best practices to guarantee data model integrity and idempotency, implementing composite keys for fact table granularity and COALESCE rules for safe, non-destructive UPSERT operations. Re-designed ETL jobs to use pre-aggregation patterns, which eliminated data inflation caused by incorrect join strategies.Rapidly promoted to technical gatekeeper for the NTS data domain within 3 months, entrusted to lead stakeholder meetings, conduct rigorous peer code reviews, and enforce architectural standards (defensive coding patterns, modularity) to prevent technical debt and ensure long-term pipeline stability, while being introduced to evolving stack components like Airflow and GCP.
EDUCATION
University of Toronto
Bachelor of Science (B.Sc.)
Danforth Collegiate and Technical Institute
Ontario Secondary School Diploma
ABOUT SABBIR HOSSAIN
I\'m a results-driven Software Engineer and recent University of Toronto graduate (B.Sc. Hons, Computer Science; Bioinformatics and Computational Biology, 3.96 GPA), passionate about building scalable, impactful software solutions, particularly where technology meets research and healthcare. With deep experience across full-stack development (React, Node, Python, Java), cloud & DevOps (AWS, Docker, K8s, Terraform, CI/CD), and machine learning (PyTorch, TensorFlow), I excel at translating complex requirements into robust, efficient code and systems. My track record includes architecting an open-source bioinformatics platform at Johns Hopkins University that processed 750+ TB of multi-omics data, accelerated cancer biomarker discovery by 40%, and cut analysis times by 83% for over 100 global researchers. I\'ve engineered scalable ETL pipelines, deployed fault-tolerant microservices on AWS, implemented ML-driven data quality checks, and built interactive UIs (React/Next.js) that boosted user engagement 56%+. At an AI startup, I optimized serverless functions (AWS Lambda), reducing infrastructure costs by 30% and enhancing code execution speed by 20%. From high-performance computing workflows to secure, cloud-native applications, I deliver tangible results. I am actively seeking full-time Software Engineer (entry-level), DevOps Engineer, SRE, or Machine Learning Engineer roles starting now across the US and Canada. I am particularly drawn to opportunities in innovative tech companies (Big Tech or startups), health tech, or AI/ML research environments. Based in Toronto, ON | Fully open to relocation (SF Bay Area, Seattle, NYC, Boston, Austin, Vancouver, etc.) or remote work. Authorized for US employment via the TN Visa process. If you\'re seeking a technically versatile, problem-solving engineer eager to contribute significantly from day one, let\'s connect! 🤝
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