Lakshmi Meena
Manivannan

SQL & Data Pipelines: At Wipro, I engineered a SQL-driven validation and reconciliation framework that processed over 50,000 transactional records daily. Using advanced techniques — CTEs, joins, window functions, and custom exception flags — I built layered data checks that brought reporting accuracy up to 99%. I became the go-to person on the team for diagnosing data issues and writing complex queries under tight client deadlines.

ETL & Data Engineering: I designed and deployed end-to-end ETL workflows from scratch, embedding anomaly detection logic, transformation rules, and automated validation checks at each stage. This reduced the team's manual verification effort by 25% and significantly improved data reliability — making audit preparation faster and more consistent across all reporting cycles.

Power BI & Dashboards: I built and maintained interactive Power BI dashboards used daily by client stakeholders, featuring 15+ KPIs, DAX-based calculations, trend analysis, and drill-down capabilities. These dashboards bridged the gap between raw data and real business decisions — giving non-technical stakeholders clear, actionable visibility into operational performance in real time.

Stakeholder Communication: Working directly with clients and cross-functional teams, I translated complex business questions into structured data problems and communicated findings clearly to both technical and non-technical audiences. Consistently delivering accurate outputs under pressure built strong trust with stakeholders and helped establish a culture of evidence-based decision-making within the project team.