Krishna C.

Bi Developer Data Engineer @Finastra

Mississauga, ON, CA

Designed and implemented end-to-end data ingestion and transformation pipelines using Azure Data Factory (ADF) and Microsoft Fabric Data Factory, integrating data from heterogeneous sources including relational databases, APIs, and cloud storage into centralized analytics platforms.Designed and optimized distributed data processing frameworks using Azure Databricks (PySpark, Spark SQL) to perform large-scale batch and near real-time data transformations, implementing performance tuning techniques such as partitioning, caching, and optimized joins.Maintained enterprise-scale cloud data warehouse solutions in Snowflake, implementing dimensional data models (Star/Snowflake schemas), query optimization, clustering, and workload management to support high-performance analytical workloads.Developed ETL processes to extract, transform, and load data into Power BI from diverse data sources, including on-premises and cloud-based systems, using Power BI dataflows and other integration techniques.Created Azure Data Factory Jobs for end – end ELT/ETL pipeline and ADF Notebook activity. Built and managed Microsoft Fabric Lakehouse and Warehouse architectures, developing medallion-layer data models (Bronze, Silver, Gold) to deliver curated, analytics-ready datasets for downstream reporting and advanced analytics.Developed complex Power BI semantic models and datasets, implementing DAX measures, calculated columns, and row-level security (RLS) while designing interactive dashboards and reports optimized for performance and usabilityInvolved in creating different reports based on the business request and ad hoc requirements using Tableau, Power BI and prepared financial deliverables (quarterly, accrual and budgetary reports) for funding agencies as well as proof of concept, and solution mockups