At Western Union, I lead the development and optimization of scalable data ingestion frameworks and ETL workflows integrating systems like Workday, Jira, and Finance into Snowflake. Utilizing AWS services such as Lambda and Glue, I enhance serverless data processing and ETL orchestration. My efforts focus on improving data governance, security, and real-time analytics, leveraging Snowflake's advanced features alongside AWS technologies to enhance data-driven decision-making processes.

During my tenure at Northeastern University, I conducted advanced workshops on Azure Synapse Analytics and guided students in building ETL workflows using Azure Data Factory. My role involved mentoring students on managing and analyzing large-scale datasets, utilizing SQL and Python for data transformations, and integrating secure data pipelines.

I leveraged AWS cloud-based technologies such as S3, Redshift, and Lambda to manage high-risk transactions within Amazon Payment's risk operations team. My responsibilities included extracting, transforming, and loading large data sets from various sources, creating custom dashboards and reports using SQL queries and Python scripts in Tableau and QuickSight, and leading cross-functional projects to optimize risk management processes. Additionally, I conducted periodic risk assessments and audits, identified control gaps, and provided recommendations for improvement to ensure regulatory compliance. I also mentored junior team members on best practices in data analysis, modeling, and risk management techniques, contributing to increased team productivity and skill development.

As a data analyst for a retail company, I conducted data analysis on sales and customer feedback data to identify trends and patterns. Using SQL and Python, I extracted data from databases, cleaned and manipulated it, and created visualizations and dashboards in Tableau to communicate insights to stakeholders. I also collaborated with a team of data analysts and business stakeholders to develop a data-driven approach to marketing campaigns, resulting in a 10% increase in click-through rates. Finally, I presented my findings and recommendations to senior leadership through written reports and presentations, leading to the adoption of new initiatives aimed to improve customer experience.

🎓 Pursued a Master's in Information Systems with a focus on 📊 Data Science and Architecture, 🔬 Algorithmic Digital Marketing, 💻 Application Engineering and Development, 📈 Business Analysis & Info Engineering, 🗃️ Data Management and Database Design, 🤖 Data Science Engineering Methods, and 🏢 Designing Data Architecture and Business Intelligence. 🎉 Along with my coursework, I was also involved in various extracurricular activities on campus. As a 🎓 teaching assistant, I supported professors and helped students with their coursework. 💪 I also worked as a building supervisor for the fitness floor, ensuring a safe and clean environment. 💼 In addition, I was a member of the entrepreneurship club and data club, collaborating with other students on various projects and events. Through these experiences, I developed valuable leadership, communication, and teamwork skills that have been instrumental in my personal and professional growth. 🚀

During my college years at Andhra University, I had a blast studying Computer Science Engineering 🖥️. From Python programming to Artificial Intelligence, Database Management to File Structures, Probability and Statistics to Program Structures, I gained a solid foundation in various subjects. 📚 But college wasn't just about hitting the books for me, I was also actively involved in the Chess Club as the President 👑. Additionally, I had the opportunity to explore my entrepreneurial side and learn more about it through coursework. 🚀 Looking back, my college experience was both educational and fun-filled, and it has helped me tremendously in my career.