Minal Dongare

Led the design and implementation of an enterprise data lake, improving data access and analytics efficiency. Simplified complex data reports, increasing managerial decision-making efficiency by 25%, and reduced reporting errors by 15% through improved data processes. Spearheaded BI and reporting strategy, built complex SQL queries, CTEs, and DAX functions for interactive reports, and utilized Pyt

Analyzed large data volumes to identify trends and patterns, evaluating datasets to prepare insights in narrative or visual forms. Led the design and implementation of ETL and ELT processes using Informatica, SQL, and Python for efficient data gathering and processing. Designed and implemented data governance activities, managed metadata and master data, and ensured data security and access contro

Designed and managed three data warehouses, providing critical insights into patient care and operational decision-making. Developed and maintained data dictionaries, created and implemented data governance policies, and established data security procedures. Implemented ETL processes and maintained data warehouses used for large dataset analysis.

Developed and maintained ETL processes for large-scale data integration projects, serving clients like Merck Pharmaceuticals and Barclays. Responsible for designing and implementing robust data pipelines to ensure efficient data flow and quality.

Focused on advanced analytical techniques, statistical modeling, and machine learning. Gained expertise in extracting actionable insights from complex datasets and developing data-driven solutions.

Studied core principles of computer science, including programming, data structures, and algorithms. Developed a strong foundation in information technology and software development.