Summary
Shashank Kalanithi is a Data Engineer with nine years of experience building analytics-first systems and production data pipelines, currently applying his skills at Meta. He has led CDC implementations with Debezium and Kafka, designed organizational data models, and productionized statistical and anti-money-laundering models to support business and compliance needs. Comfortable across Scala, Python, SQL, Tableau, Alteryx and Snowflake, he’s delivered automated EDA tools, multicollinearity detectors, and store/financial dashboards that democratized analytics for non-technical users. He also teaches—publishing a free Tableau course—and maintains a public GitHub of data science projects, reflecting a pragmatic focus on reproducible tooling and training. Notably, he has experience translating greenfield analytic problems (from mask factory siting to NBA analytics) into operational insights and scalable data products.
9 years of coding experience
8 years of employment as a software developer
Bachelor's Degree Chemistry, Bachelor's Degree Chemistry at Emory University
Associate of Arts (A.A.), Associate of Arts (A.A.) at Oxford College
International Baccalaureate, International Baccalaureate at North Hills Preparatory
Spanish, English