Aman Bhattarai
Senior Data Engineer @Bayer Technology Services, Canada
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WORK HISTORY
Senior Data Engineer @Bayer Technology Services, Canada
Mississauga, ON, CA
Designed and delivered scalable cloud-based data platforms integrating structured and semi-structured data from enterprise systems, APIs, and external partners. Built Python, SQL, and PySpark pipelines to standardize and enrich agricultural and business datasets within a centralized data lake architecture supporting high-volume analytics. Developed dimensional models and analytics-ready datasets for reporting and advanced insights, while implementing data quality frameworks, security controls, and CI/CD automation. Collaborated closely with agronomy, commercial, and analytics teams to translate business needs into reliable, high-performance data solutions.Key Contributions-Engineered scalable ETL/ELT pipelines for enterprise, API, and partner data integration-Built cloud-native ingestion and transformation workflows using Python, SQL, and PySpark-Implemented a centralized data lake architecture for large-scale storage and analytics-Developed dimensional data models and analytics-ready datasets-Orchestrated and monitored pipelines to ensure reliability and data freshness-Established data quality validation frameworks including reconciliation and anomaly detection-Partnered with cross-functional teams to deliver business-driven data solutions-Applied data security and governance controls (RBAC, encryption, compliance)-Automated CI/CD pipelines for version-controlled data deployments-Optimized processing and storage for better performance and cost efficiency
EDUCATION
NPower Canada
Junior Data Analyst Training Program, Computer Science
Loyalist College
Postgraduate Degree, Artificial Intelligence
New Horizon College of Engineering
Bachelor of Engineering (BE), Computer Engineering
SKILLS
ABOUT AMAN BHATTARAI
I’m a results-driven Data Engineer with 6+ years of experience building scalable, cloud-native data platforms across telecom, healthcare, and financial services. I specialize in designing reliable batch and real-time pipelines, modern data warehouses, and big data solutions that turn complex business requirements into high-performance data systems. With hands-on expertise in AWS, Azure, Spark, Snowflake, and Databricks, I focus on creating data environments that are efficient, trustworthy, and built for analytics at scale. I thrive in Agile teams and enjoy collaborating with cross-functional stakeholders to deliver impactful, data-driven outcomes.Key Achievements-Designed and deployed scalable ETL/ELT pipelines processing large volumes of structured and semi-structured data-Built cloud-native data platforms on AWS and Azure to support analytics and reporting at scale-Developed batch and near real-time data processing frameworks using Spark and PySpark-Modeled and optimized enterprise data warehouses for performance and business usability-Improved query and pipeline performance through partitioning, indexing, and workload optimization-Partnered with analysts and business teams to deliver high-quality, analytics-ready datasets-Ensured data quality, governance, and reliability in regulated industry environments
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