Kaushal Grover — Backend Engineer
I am a Data Engineer with strong foundation in large-scale data infrastructure, ETL pipelines, backend systems, and web scraping. I have expertise in Python, PySpark, PostgreSQL, Selenium, Docker, Tableau, Superset, Git, and Linux. In my current role at Remitz, I have designed and implemented scalable data pipelines, processing over 70 million medical claims daily. I have successfully replaced legacy systems, transitioned the codebase to GitHub, and developed multiple Tableau dashboards with automated data source refresh using Docker. I follow Agile workflows and collaborate across teams to deliver high-impact and reliable solutions. With a Master's in Computational Biology, I have previously worked on survival analysis and machine learning applications in genomics, with publications highlighting my ability to conduct in-depth research, analyze complex datasets, and effectively document technical workflows.
Stackforce AI infers this person is a Data Engineer with expertise in Healthcare data solutions.
Location: West Delhi, Delhi, India
Experience: 2 yrs 4 mos
Skills
- Data Engineering
- Etl Pipelines
Career Highlights
- Designed scalable data pipelines for 70 million claims daily.
- Expertise in Python and data engineering tools.
- Published research in genomics and machine learning.
Work Experience
Lilo
Backend Developer (10 mos)
Remitz, Inc.
Data Engineer (8 mos)
Jawaharlal Nehru University
Master's Dissertation (5 mos)
Indian Institute of Science (IISc)
Research Intern (1 mo)
Shivaji College
Research Project (5 mos)
Summer Internship (1 mo)
Student Editor (2 mos)
Education
Master of Science - MS at Jawaharlal Nehru University
Bachelor of Science - BS at Shivaji College
Higher Secondary Certificate at Neo Convent Sr. Sec. School