Selected engagements focused on data reliability, platform modernization, and analytics performance.
Problem: Inconsistent ETL outputs affected reporting confidence and operational workflows.
Solution: Improved monitoring, standardized QA practices, and stabilized Glue/PySpark transformations.
Result: More reliable reporting, fewer production mismatches, and stronger trust in data outputs.
AWS Glue, PySpark, Lambda, Terraform, S3, Kinesis
Problem: Pipeline bottlenecks and HQL issues impacted downstream deliverables.
Solution: Monitored workflows, fixed critical HQL issues, and improved execution consistency.
Result: Higher workflow stability and fewer operational interruptions.
Informatica, Hive/HQL, SQL
Problem: Legacy schema constraints and slow procedures created delivery risk.
Solution: Optimized procedures, improved schema design, and led migration/backup strategy.
Result: Faster query performance and safer modernization.
AWS RDS, SQL, Schema Design, Backup/Recovery