Jeshwanth Premkumar
Data Engineer
Talent
Bayshore, OttawaMember since January 25, 2025
Data EngineeringETL/ELT Pipeline DevelopmentData Modeling & Schema DesignSQL Development & Query OptimizationPython Programming for Data ProcessingPySpark Data ProcessingData Warehousing ConceptsData Quality & ValidationData Integration from Multiple SourcesData Governance & DocumentationAzure Data Factory (ADF)Azure Data Lake Storage (ADLS Gen2)Azure DatabricksAzure Synapse AnalyticsSnowflake Data Warehousedbt (Data Build Tool)Power BIMicrosoft ExcelGitHub Version ControlRelational Database Management Systems (RDBMS)Analytical ThinkingProblem SolvingAttention to DetailStakeholder CommunicationCross-functional CollaborationTechnical DocumentationTime ManagementAdaptabilityCritical ThinkingTroubleshooting & Root Cause Analysis
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Data EngineeringETL/ELT Pipeline DevelopmentData Modeling & Schema DesignSQL Development & Query OptimizationPython Programming for Data Processing
Experience
Data Engineer at Aspire Systems (2021-08 – 2024-12)
Data Engineer at Aspire Systems developing SQL and Python data workflows and ETL pipelines
- Developed SQL and Python data workflows that delivered 12 analytics-ready datasets for reporting and operations by implementing validation, transformation rules, and scheduled processing
- Built reusable Python utilities that reduced manual reconciliation effort by 9 hours per week by automating data transformation, quality checks, and exception handling
- Integrated data from 6 source systems to improve stakeholder reporting turnaround time by 30% by standardizing SQL extracts and publishing curated outputs in Excel and Power BI
- Documented 25 data requirements and transformation specifications to increase governance traceability by 40% by maintaining consistent definitions, issue patterns, and execution notes across teams
- Built 8 scalable ETL workflows that reduced manual data correction effort by 25% for reporting and operations by implementing SQL and Python transformation logic, validation rules, and automated error handling
Education
Master of Engineering (M.Eng.) in Technology Innovation Management – Carleton University
Skills
Data Engineer
