Saumya Maurya
Data Engineer @Bliss Ladders
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WORK HISTORY
Data Engineer @Bliss Ladders
ON, CA
Building and optimizing cloud-native data infrastructure on AWS from raw ingestion to executive-facing analytics. • Architected a multi-source AWS lakehouse (CSV, Parquet, APIs) consolidating 6+ upstream systems, increasing BI self-service access by 3×. • Re-engineered legacy ETL to serverless AWS Glue + Apache Spark + Redshift Spectrum, boosting processing throughput by 55% and enabling real-time analytics. • Optimized PySpark transformation scripts via parallel processing and memory tuning, cutting runtime by 40% on 500M+ record datasets. • Reduced dashboard query latency by 60% through Redshift partitioning, indexing, and distribution key redesign, improving executive reporting SLAs. • Implemented AWS Glue Data Catalog + Lambda automation for end-to-end data lineage and schema evolution, achieving 100% governance compliance across all production environments.
EDUCATION
Georgian College
𝐏𝐨𝐬𝐭𝐠𝐫𝐚𝐝𝐮𝐚𝐭𝐞 𝐃𝐞𝐠𝐫𝐞𝐞 𝐢𝐧 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞, Artificial Intelligence (AI)
Georgian College
Postgraduate Degree in Mobile Application Development, Mobile Application Development
The Maharaja Sayajirao University of Baroda
𝐁𝐚𝐜𝐡𝐞𝐥𝐨𝐫'𝐬 𝐨𝐟 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 (𝐁𝐂𝐀), Computer Programming/Programmer, General
ABOUT SAUMYA MAURYA
I build data pipelines that perform, not just pipelines that run.Over 3+ years across Azure, AWS, and GCP, I\'ve architected ETL/ELT systems that delivered 40–60% performance improvements, handled 500M–5B+ record datasets, and met production-grade governance standards. My stack spans Azure Data Factory, Synapse Analytics, AWS Glue, Redshift, Kafka, and PySpark with a strong focus on reliability, lineage, and scale.A few things I\'ve shipped: • Re-engineered legacy ETL to serverless AWS Glue + Spark pipelines → 55% throughput gain • Reduced dashboard query latency by 60% via Redshift partitioning and distribution key redesign • Implemented Azure Purview for end-to-end metadata lineage → 90% traceability coverage • Built real-time IoT streaming pipelines with sub-second anomaly detectionI hold a 4.0 GPA postgraduate diploma in AI from Georgian College and AWS certifications, and I bring ML pipeline awareness to every data architecture decision.Currently on an Open Work Permit and actively exploring Data Engineer and Data Analyst roles across Canada (remote-friendly or on-site).Let\'s build something solid.
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