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mdkmajumder

Md K Majumder

@mdkmajumder

Senior Data Engineering and Analytics Expert

Kanada
Englisch
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
I’m a Senior Data Engineering & Analytics professional with 15+ years of experience delivering enterprise data solutions. I specialize in SAS modernization, Python, PySpark, SQL, Azure Databricks, ETL/ELT, data migration, validation, statistical analysis, and BI. I help clients migrate SAS workloads to modern platforms, build and optimize data pipelines, develop SQL solutions, improve data quality, automate analytics, perform statistical analysis, and create actionable Power BI and Tableau reporting.... Mehr lesen

Kompetenzen

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mdkmajumder
Md K Majumder
offline • 
Durchschnittliche Antwortzeit: 7 Stunden

Meine Dienstleistungen

Cloud-Beratung
I will migrate SAS code to python pyspark and azure databricks
Cloud-Beratung
I will build azure databricks etl pipelines using pyspark and delta lake

Arbeitserfahrung

Government_of Canada

Data Engineer / Data Analyst

Government of Canada • Vollzeit

Jan 2026 - Present8 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

RBC

Vollzeit • 1 yr 7 mos

Senior Data Engineer / Data Analyst

Oct 2024 - Nov 20251 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 20246 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.