MANASI PATIL

Worked on a government transformation program with the Ministry of Communications and Information Technology (MCIT), supporting data governance, compliance, and reporting initiatives.

• Supported data governance practices by ensuring data consistency, standardization, and alignment with defined policies
• Collaborated with business and technical teams to ensure data usage aligned with compliance and reporting requirements
• Contributed to data quality management , including validation, reconciliation, and issue tracking across reporting systems
• Maintained documentation, data definitions, and reporting logic , improving transparency and audit readiness
• Participated in UAT coordination and validation cycles , ensuring deliverables met business and compliance expectations
• Acted as a liaison between stakeholders and technical teams , facilitating smooth execution of data-related deliverables
• Supported reporting and dashboard requirements (Power BI) to enable governed and accurate decision-making

• Supported data integration and validation processes , ensuring accuracy and consistency of financial and operational data
• Implemented data quality checks and validation in collaboration with BI and QA teams to ensure reliable reporting
• Developed Power BI reports and dashboards , aligned with business definitions and governed data standards
• Maintained data documentation, data flows, and reporting logic to improve transparency and audit readiness
• Participated in Agile coordination and delivery tracking for data-related initiatives
• Supported data validation, regression testing, and production checks for consistent data delivery
• Collaborated with cross-functional teams to resolve data issues and ensure timely availability of datasets
• Gained exposure to cloud environments and governed data practices for scalable analytics

• Engineered scalable ETL pipelines using Ab Initio GDE, processing high-volume, mission-critical datasets across cross-functional domains.
• Designed and maintained data integration graphs, handling heterogeneous sources including flat files and relational databases.
• Integrated Ab Initio graphs with Autosys for job scheduling, enhancing recovery processes and dependency chains for resilient execution.
• Optimized performance with advanced components like Rollup, Scan, and Partition by Expression to enable faster and more reliable data handling.
• Refactored legacy graphs to improve modularity and operational efficiency.
• Led efforts to resolve data mismatches through root cause analysis and preventive measures.
• Acted as a bridge between business and technology teams, ensuring alignment with project goals.
• Mentored junior developers on ETL-Design, metadata usage, and debugging techniques.

• 4 years of professional experience focused on data analysis and visualization, with deep expertise in Power BI
• Designed and developed performance dashboards, scorecards, and KPI reports tailored to stakeholder needs
• Created custom visuals and dynamic reports using Power BI Desktop, based on business requirements
• Built complex DAX (Data Analysis Expressions) measures to drive data insights and interactivity
• Integrated various data sources and applied data modeling techniques including star schema and fact-dimension tables
• Implemented row-level security and access controls to ensure secure data presentation across user roles
• Provided ongoing production support for Power BI reports and dashboards, resolving data discrepancies and performance issues
• Collaborated cross-functionally with business users to translate requirements into actionable visualizations
• Familiar with Power BI Service, including publishing reports, scheduling refresh

• Assisted in writing SQL queries to extract, manipulate, and analyze data from relational databases.
• Supported senior developers in optimizing database performance through indexing and query tuning.
• Developed basic stored procedures and views for backend data processing tasks.
• Participated in database schema design discussions and contributed to small-scale database implementations.
• Generated data reports using simple joins, aggregations, and subqueries to support decision-making teams.
• Collaborated with QA teams to test and validate data accuracy across applications.