Data silos caused duplicate records and inconsistent reporting

Implemented a unified data lake, reducing duplicates by 45% and improving reporting accuracy

Manual data imports led to weekly delays

Automated ETL pipelines cut data latency from days to minutes

Incompatible source formats required custom scripts

Standardized data contracts eliminated custom code, saving 200 developer hours annually

Frequent schema mismatches broke downstream applications

Introduced schema versioning and validation, achieving 99.9% compatibility

Limited visibility into data lineage hindered audits

Deployed lineage tracking, enabling rapid audit completion within 2 days