
Md K Majumder
Senior Data Engineering and Analytics Expert
Competenze

Consulta i miei servizi


Esperienza lavorativa
Data Engineer / Data Analyst
Government of Canada • Full time
Jan 2026 - Present • 8 mos
Working on enterprise data modernization and analytics initiatives supporting the migration of legacy SAS-based data processing and reporting workflows to a modern Azure Databricks Lakehouse environment. Develop scalable ETL/ELT pipelines using Python, PySpark, Spark SQL, Azure Databricks, Azure Data Factory (ADF), ADLS Gen2, and Delta Lake across Bronze, Silver, and Gold layers. Responsibilities include translating existing SAS business logic into PySpark and SQL, implementing data transformations, performing source-to-target validation and reconciliation, troubleshooting data quality issues, and ensuring migrated outputs remain consistent with established business rules. Support Spark and Delta Lake performance optimization, pipeline automation, documentation, metadata, lineage, RBAC, and governance requirements. Also support analytics and reporting solutions using Power BI and Tableau, working with business and technical stakeholders to transform complex data requirements into reliable, scalable, and maintainable data solutions.
RBC
Full time • 1 yr 7 mos
Senior Data Engineer / Data Analyst
Oct 2024 - Nov 2025 • 1 yr 1 mo
Delivered enterprise data engineering and analytics solutions supporting credit risk, portfolio, treasury, and business reporting. Developed and optimized ETL/ELT pipelines and complex data transformations using SAS, Python, PySpark, SQL, Hive, Teradata, DB2, and enterprise data platforms. Modernized legacy SAS workloads to PySpark and big-data environments, automated recurring data processes, and implemented data quality, validation, and reconciliation controls. Developed Tableau reporting solutions and worked with business and technical stakeholders to deliver reliable, scalable, and production-ready data solutions.
Senior Data Analyst / Manager
Feb 2024 - Aug 2024 • 6 mos
Supported Global AML Transaction Monitoring through data engineering, analytics, and model-related activities using SAS, Python, PySpark, SQL, Teradata, DB2, Hive, and Hadoop. Developed and maintained ETL/ELT workflows for large transactional datasets, performed data validation and quality analysis, supported AML model and threshold analysis, and automated recurring analytical processes. Applied statistical techniques including clustering and PCA, developed KPI reporting in Tableau, and supported regulatory and business reporting requirements in a highly controlled financial environment.