Family engagement, travelling , Playing badminton


TECHNICAL BUSINESS & DATA ANALYST building Spark pipelines, ETL workflows, and SQL transformations that support 50+ Spark pipeline runs per day and move large banking datasets into 3 to 5 downstream systems. Blends business analysis with data engineering to translate requirements, tune performance, and add validation controls that ensure data accuracy and strengthen throughput and data integrity. Brings a practical focus to reconciling data issues, keeping complex data products accurate, scalable, and ready for use across banking teams.
Business analysis & requirement gathering
Stakeholder management & communication
Agile / Scrum methodologies
Domain analysis
Project delivery support
User acceptance testing
Backlog prioritization
Process mapping
Requirements traceability
SQL
ETL development (Informatica PowerCenter)
Data engineering (Spark / PySpark)
Hive
Git
Oracle
Teradata
Data warehousing
Data quality & validation
Data reconciliation
Data profiling
Root cause analysis
Performance tuning
Technical documentation
Family engagement, travelling , Playing badminton