Designed and built production data pipelines in Azure Databricks applying Medallion architecture with Unity Catalog. Built the risk-evaluation data model for FRISS using Databricks SQL. Migrated legacy SSIS ETL packages to Databricks Workflows, reducing processing times by 65%. Implemented cloud data models and ingestion across Azure Synapse and Databricks. Applied software-engineering practices including modular code, version control, and CI/CD.

Built data pipelines on AWS to power predictive analytics for US-based clients. Developed a predictive Machine Learning model in AWS SageMaker for US retail locations. Delivered customer-segmentation insights and built recurring KPI reports from Google Analytics. Gathered requirements from US stakeholders and delivered analytical solutions remotely.

Architected an AWS serverless Lakehouse for Canvas LMS data integration. Built an MVP AWS Lakehouse to modernize the on-premise Data Warehouse. Implemented a Salesforce data-deduplication pipeline. Designed and operated production stored procedures integrated with the Canvas LMS REST API. Built and orchestrated production ETL pipelines with SSIS. Delivered various Power BI dashboards for academic and financial operations.

Engineered SQL Server data pipelines for credit-risk reporting. Automated the Risk Center (CdR) report and regulatory SIBOIF reporting, reducing the reporting cycle by 70%. Built ETL to load historical information into the CdR database.

Developed Oracle PL/SQL scripts to analyze production revenue streams. Designed early-warning KPI indicators and monitoring jobs to detect revenue anomalies.

Supported the migration of the core banking system to .NET. Prepared T-SQL scripts for report migration. Migrated reports to Reporting Services and developed vouchers.