Tanmayee Lingala

About Tanmayee Lingala

I am a Data Engineering and Business Analysis professional with over 7+ years of experience in data analysis, data integration, and enterprise reporting within IT environments.My expertise lies in SQL based data extraction and transformation, building structured reporting datasets, and designing KPI driven dashboards using Power BI and Tableau. I have strong experience in source to target mapping, dimensional reporting structures, and data validation processes to ensure reporting accuracy and reliability.I work closely with stakeholders to translate business requirements into scalable analytical solutions. From requirement gathering and documentation to backend SQL validation and dashboard development, I focus on delivering clean, reliable, and actionable data insights.My core strengths include:• Advanced SQL querying and optimization• Data modeling and dimensional reporting structures• ETL workflow design and transformation logic• Power BI and Tableau dashboard development• Requirement gathering and functional documentation• Data validation and reconciliation processesI am currently seeking opportunities in Data Engineering and Business Analysis roles where I can contribute to enterprise analytics and data driven decision making initiatives.

Experience

1. Sr Data Analyst

   Deutsche Bank

   Apr 2025 — Present · US

   Engineered structured reporting datasets by integrating data from multiple relational sources to support enterprise analytics initiatives.• Analyzed over 27+ structured financial datasets to support regulatory reporting and risk assessment initiatives across treasury and compliance teams.• Developed complex SQL queries involving joins, aggregations, subqueries, and window functions to analyze operational and performance metrics.• Designed KPI frameworks to measure business performance and created visualization layers in Power BI to present insights to stakeholders.• Implemented transformation logic to standardize inconsistent source data before loading into reporting models.• Defined business rules and metric calculations in collaboration with stakeholders to ensure alignment between technical outputs and business objectives.• Built automated Python scripts to streamline recurring data preparation and reduce manual processing overhead.• Conducted variance analysis and trend evaluations to support executive decision-making.

Education

• IIMC Degree College

  Bachelor of Commerce - BCom, Accounting

• Webster University

  Masters in information technology and management, Information Technology