Overview
Technical skills
Projects
Optimised complex SQL queries, SSIS packages, and ETL data-loading processes to enhance data processing efficiency, improve batch execution performance, strengthen ETL reliability, and ensure consistent data integration across enterprise systems.
Timeline
Design and support enterprise data solutions and cloud data workflows using SQL, SQL Server, Snowflake, and Python.
Support and enhance SSIS-based ETL and enterprise data integration processes, focusing on data accuracy and reliable pipeline execution.
Provide L3 production support, investigate data-processing failures, analyse SQL logic and ETL flows, and implement corrective fixes.
Develop Python automation scripts and REST APIs using FastAPI/Django to reduce manual operational work.
Develop and support SSIS packages for financial data integration and regulatory reporting across multiple source systems.
Tune SQL queries, SSIS data flows, and transformations to improve batch performance and operational stability.
Manage ETL lifecycle activities including requirements analysis, development, deployment, scheduling, monitoring, validation, and support
Lead and support a client DevOps team through mentoring and resource coordination. Contribute to risk management, estimation inputs, and technical decision-making for delivery. Focus on coordinating execution and supporting team delivery activities for the client engagement.
Manage production troubleshooting for compliance and regulatory reporting data environments with high operational volume. Build SQL/T-SQL for data extraction and transformation, handle priority incidents, and perform root-cause analysis with data-fix approaches. Create Python and SAS automation for data validation to reduce manual reporting effort, and support SSIS-based financial data integration. Improve ETL reliability and batch performance through SQL, SSIS, and loading process optimization.
