Divya Gulakavarapu

Software Engineer who worked on various projects with about 10+ years of total IT experience.Proficient in using data analysis tools and technologies, including SQL, Teradata, Tableau, Alteryx, Power BI and jupyter. Expertise in developing interactive data visualizations, and ensuring data accuracy, consistency, and reliability. • Recognized for exceptional problem-solving and critical-thinking abilities, effectively identifying data anomalies, inconsistencies, and inaccuracies and implementing strategies to improve data quality, historical tracking, and data integration in support of business intelligence and reporting. • Used Alteryx, for Data Quality checks, in both GSS, and BBV. • Demonstrated a track record of leveraging data analysis and visualization to drive data-driven decision-making in diverse industries, resulting in improved efficiency, cost savings, and enhanced patient outcomes in the pharmaceutical sector. • Performed Data Analysis and performed extensive data validation by writing several complex SQL. • Engaged with stakeholders and users in defining the requirements for Data Migration into Snowflake. • Implementation (End to End) of Enterprise Data Warehouse, Analytical and strategic roles. • Experienced on Banking, Insurance, Health care, Pharmaceutical and Salesforce domains. • Experienced in developing Reports, Performance Tuning and Identifying Bottlenecks. • Hands-on experience in developing SQLs, Views, Joins, Indexes, Scripting, query optimization and Batch systems scheduling. • Developed a dashboard on Mortality Assumptions on Life, like RC1, 2 & 5 in EPIC 2. • Involved in developing interactive data visualization reports using Actions, Calculated fields, Extracts, Filters, and Parameter. • Created schedules, permissions, and data security using the Tableau server. • Good experience in data warehousing concepts Snowflake and Star schema and OLAP and OLTP system design • Quick learner and good team player, ability to meet tight deadlines and work under pressure. • Collaborated with cross-functional teams to define and document data mapping rules, transformations, and validation procedures for ETL processes. • Utilized data profiling insights to drive data cleansing and