Ajeet Kumar is a Data Engineer and Analyst with experience in developing scalable data pipelines and optimizing ETL processes within the Fintech sector. He is proficient in Python, SQL, and AWS, utilizing technologies like Hadoop and PySpark to process large volumes of data. His expertise includes data ingestion from APIs, financial data migration, and building robust applications, demonstrated by his work on a Virtual Banking Application.
Experience
Data Engineer and Analyst
Saison Omni India-Ext.
Contributed to LMS Development, optimizing ETL processes, data ingestion, and financial features using Python, Pandas, SQL, and AWS. Implemented validation checks and designed scalable data pipelines, supporting the integration of new financial partnerships, which enhanced book closures and reporting efficiency. Led the Financial Data Migration project, automating data cleansing and reconciliation with Python, achieving 99.93% migration accuracy. Built an AWS tunnel for secure data transfer and conducted health checks using PostgreSQL, ensuring seamless synchronization between financial systems.
Data Engineer and Analyst
Nineleaps Technologies Pvt. Ltd.
Utilized Big Data technologies (Hadoop, Hive, PySpark) to process and transform TB of structured and unstructured data. Conducted exploratory data analysis (EDA) and data visualization using Python, Quicksight, and Excel to deliver actionable insights. Automated data workflows, reducing manual effort by 30%, and optimized queries to improve processing performance.
Education
Indian Institute of Technology (ISM)
B.Tech
Electronics and Instrumentation Engineering