ALEKHYA DUDYALA

Built and maintained ETL pipelines using Python and SQL for high-volume vehicle production and logistics datasets Developed data models (star and snowflake schemas) to structure manufacturing and warranty data for optimized BI consumption Over 6 years of experience in Business/Data Analysis, ETL development, and data visualization using Tableau, Power BI, and SQL Specialized in building interactive Tableau dashboards with filters, dropdowns, KPIs, and real-time visual storytelling to support business intelligence Strong skills in SQL for writing complex queries (joins, window functions) and Python for scripting, automation, and data transformation Experienced in ETL processes, including data extraction, cleansing, transformation, and loading using Python and SQL-based tools Hands-on with Microsoft Power BI to deliver supplementary insights and create end-to-end reporting ecosystems Solid understanding of Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, and Databricks for cloud-based analytics pipelines Well-versed in AWS services like S3, EC2, Lambda, DynamoDB, and EMR to support data operations and reporting infrastructure Proficient in collaborating with cross-functional teams to define KPIs, gather requirements, and deploy scalable BI dashboards Familiar with QA processes, UAT testing, and full Software Development Life Cycle (SDLC) for analytics solutions Skilled in NumPy, Pandas, and Matplotlib for data manipulation, analysis, and basic statistical modeling Knowledge of machine learning libraries like Scikit-learn and TensorFlow to apply predictive techniques and detect data trends Strong communication and problem-solving abilities with a focus on turning complex data into simple, visual business insights