Nanibabu Koppaka
Senior Data Analyst @Equifax
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WORK HISTORY
Senior Data Analyst @Equifax
Denton, TX, US
Worked across all phases of the Software Development Life Cycle (SDLC), including requirements gathering, data modeling, dashboard development, and validation.• Collaborated with business users and BI teams to design Power BI dashboards and Tableau reports for operational and executive-level decision-making.• Built reusable Power BI datasets with DAX measures and KPIs, enabling self-service analytics and real-time monitoring of customer behavior and trends.• Developed ETL pipelines in Azure Data Factory (ADF) to ingest, transform, and load structured and semi-structured data from Azure SQL, Blob Storage, and APIs.• Transformed large-scale datasets using SQL, PySpark, and DataFrames to prepare analytics-ready data for visual reporting.• Designed and maintained interactive dashboards in Power BI to track quality metrics, operational efficiency, and strategic KPIs.• Led migration of on-premises data warehouse architecture to Azure cloud and integrated outputs into Azure SQL and Power BI.• Built ad-hoc reports and custom visuals to support marketing, finance, and operations teams with on-demand insights.• Conducted data validation, anomaly detection, and cleansing using SQL and Python libraries (Pandas, NumPy).• Integrated Kafka and Spark Streaming data sources into curated datasets for live analytics in Power BI and Tableau.• Created Hive tables and managed data transformation jobs to support downstream analytical needs.• Enabled trend analysis and business forecasting through historical data visualization and predictive metrics setup.• Supported data governance by developing data quality checks, lineage documentation, and refresh schedules for BI assets.
EDUCATION
University of North Texas
Master's degree, Mathematics and Statistics
ABOUT NANIBABU KOPPAKA
5 years of experience across the full Software Development Life Cycle (SDLC) with a focus on data analysis, dashboard design, and business intelligence reporting.• Proven expertise in analysing large datasets, identifying trends, and delivering actionable insights through compelling visualizations using Power BI, Tableau, and Excel.• Strong hands-on experience in SQL for querying, joining, and transforming complex datasets across relational databases (SQL Server, Oracle, MySQL).• Designed interactive dashboards and reports that track KPIs, operational metrics, and compliance indicators, supporting strategic decision-making.• Proficient in building ETL pipelines using Azure Data Factory and integrating data sources (Azure SQL, Excel, APIs) into data models and dashboards.• Skilled in Python (Pandas, NumPy, Matplotlib) for data cleaning, exploratory analysis, and automation of reporting tasks.• Collaborated with business users to define reporting requirements, translate business questions into analytical queries, and ensure data quality and usability.• Experience working with healthcare and quality reporting metrics, enabling improved outcomes through analytics-driven process improvement.• Conducted ad-hoc and scheduled reporting using Excel, SSRS, and Power BI for marketing, operations, and executive stakeholders.• Good experience with design, coding, debug operations, reporting and data analysis utilizing python and using Python libraries to speed up development.• Experience on moving raw data between different systems using Apache NIFI.• Experience in migrating Python Machine learning modules to scalable, high-performance, and fault-tolerant distributed systems like Apache Spark.• Expertise in developing multiple Spark jobs in Scala for data cleaning, pre-processing and aggregating.• Excellent understanding and knowledge of job workflow scheduling and locking tools/ services like Oozie and Zookeeper.• Knowledge of ETL methods for data extraction, transformation and loading in corporate-wide ETL Solutions and Data Warehouse tools for reporting and data analysis.• Comprehensive knowledge in Debugging, Optimizing and Performance Tuning of DB2, Oracle and MYSQL databases.• Good experience with Informatica, AWS Glue for designing ETL Jobs for Processing of data.• Good understanding and knowledge of NoSQL databases like MongoDB, HBase and Cassandra.• Experienced and skilled Agile Developer with a strong record of excellent teamwork and successful coding.
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