Batch jobs took 8 hours to load daily sales data, causing delayed reporting.

Optimized transformations and parallelized loads, reducing runtime to 45 minutes and enabling near‑real‑time dashboards.

ETL scripts were hard‑coded, leading to frequent failures during schema changes.

Implemented parameterized workflows and automated schema detection, cutting failure rate by 90%.

Data latency prevented the finance team from meeting SLA for daily reconciliations.

Introduced incremental loading with change‑data‑capture, achieving sub‑hour latency.

Manual error‑handling required extensive manual re‑runs.

Added robust error logging and automated retry mechanisms, saving 20+ manual hours per month.

Data quality issues went unnoticed until month‑end audits.

Integrated data‑quality checks and alerts, improving data accuracy by 30%.