About

Sarwat Fatima is a highly skilled Senior Data Engineer with over 7 years of relevant experience in the field. Currently working at Biome Analytics, she has led multiple Cardiac ETL pipelines for US hospitals by translating SQL Scripts to YML data mappings, Pandas & NumPy based optimized transformations and creating airflow dags for ETL monitoring and visualization. She has also researched and tested ETL technologies for efficient ETL pipelines such as Luigi, Airflow, and managed Airflow services such as Astronomer. Prior to her current role, Sarwat worked as a Data Scientist at Dealsmash, where she led the development of the DealSmash recommender system using Python, Machine Learning and AWS cloud in a 3-member team. She also developed a data warehouse for visualization of customer shopping patterns and market basket analytics for NESTLE, UNILEVER, etc. in a 2-member team. Additionally, she developed a ReactJS frontend for an HR analytics web app for survey distribution and stats of employee responses in a 4-member team. Sarwat's past experience also includes working as a Research Associate at Neuro Informatics Laboratory, SEECs, NUST, where she decoded brain states across subjects with multimodal neuroimaging data using signal processing & machine learning techniques. She also designed & conducted 5 EEG experiments using Open BCI and cEEGrids at Shifa International Hospital to test the data reliability of cEEGrids on live patients. Sarwat holds a Master's Degree in Electrical Engineering from the School of Electrical Engineering and Computer Sciences, NUST, and a Bachelor's Degree in Telecommunication Engineering from Foundation University. Her tech stack includes Data Engineering, ETL, Apache Airflow, SQL, Research Scientist, AWS, Pandas, Data Scientist, Data Warehouse, ML, Frontend, Web, Python, and ReactJS. Overall, Sarwat is a highly motivated and skilled professional with a proven track record of delivering high-quality work in the field of Data Engineering and Data Science.