About

Sangeetha Ramanathan Srinivasan is an AWS certified Data Engineering Manager at McKinsey & Company, with over 13 years of relevant experience. She specializes in Big Data analytics and visualization, and has led analytics workstreams across multiple engagements focused on Healthcare. Sangeetha has extensive experience leading asset development and deployment related to a range of topics in Healthcare, including value-based care, unit cost price normalization, and sizing savings opportunities. She has also worked extensively on architecting and identifying optimal solutions that help drive and shape the technology roadmap. Sangeetha's expertise in technologies like Python, PySpark, Domo, SQL, Tableau, Talend & Hive has helped her build tools and products that discover meaningful insights and communicate them effectively with clients. Her technical skills include data processing/manipulation libraries like Pandas and Numpy, visualization libraries like Seaborn, Bokeh, Matplotlib, Plotly express, Graph Objects, and Ipywidgets, and databases like Hive, SQL server, MySQL, Oracle, and Teradata. She also has experience with ETL tools like IBM Datastage and Talend for Big Data Integration, scripting in BASH Shell, and visualization tools like Tableau and Domo. Prior to her current role, Sangeetha has worked as a Data Specialist and Senior Technology Analyst at McKinsey. She holds a Master's Degree in Computer Science from New York University and a Bachelor of Engineering in Electronics and Communication from Anna University. Sangeetha's TechStack includes Data Engineering, AWS, SQL, Senior Software Engineer, Python, Spark, Big Data, Seaborn, Normalization, Pandas, MySQL, ETL, Apache Hive, and Integration. She is a highly skilled and experienced professional with a strong track record of delivering successful data-driven solutions.