Mouna Priya Pokuru

• • Designed and maintained scalable ELT/ETL pipelines in Microsoft Fabric (Fabric Data Factory, Dataflows Gen2, PySpark notebooks) ingesting heterogeneous financial data from enterprise systems and APIs, reducing manual processing cycles by 40%.

• • Built reusable analytical data models in Lakehouses and Warehouses, delivering business-ready datasets and efficient semantic layers for Power BI reporting and self-service analytics.

• • Implemented automated data validation and quality checks across ingestion and transformation stages, improving report accuracy by 25% and ensuring data consistency and integrity.

• • Monitored production data workflows, investigated data discrepancies, and resolved root causes in ingestion and transformation to keep pipelines reliable.

• • Partnered with business stakeholders to translate reporting and analytical requirements into technical solutions; documented data models, business rules, and lineage for governance and maintainability.

• • Engineered and automated production-grade ETL pipelines in Python, Azure Data Factory, and Azure Databricks to ingest high-volume structured and semi-structured transactional data from multiple enterprise systems.

• • Structured analytical layers on Delta Lake following Medallion Architecture (Silver/Gold), delivering clean, well-governed data assets for downstream BI and analytics.

• • Optimised transformations with dbt and advanced SQL, improving query execution performance by 20% across data layers.

• • Integrated Git-based CI/CD and automated deployment workflows to strengthen pipeline testing, reliability, and production stability; supported incident resolution in production environments.

• • Collaborated across a global, distributed organisation with technical and business teams to turn data requirements into scalable, documented technical specifications.

• • Built an end-to-end Python data pipeline (ingestion, feature engineering, evaluation); maintained reliability and reproducibility with Git and clear technical documentation.