At BNP Paribas ISPL, I contribute to the AML IT team’s financial compliance and large-scale data processing systems. I developed and maintained ETL pipelines for high-volume transactional data, and built Python and SQL automation to streamline AML workflows.
For the Data Archival Project, I developed a Python module that extracts database data and writes it to AWS S3 in Parquet format. It processed 1.2 billion records in a few hours, supporting database performance and regulatory compliance requirements.
I also worked on data collection workflows, writing SQL queries, converting data to CSV according to business rules, and implementing automated email notifications with an SMTP server.
My projects include CipherLang, a custom compiler with tokenization, parsing, AST generation, and JavaScript code generation, and a CNN-based plant disease detection system with a Streamlit application. I’ve also built a Java Swing chat application using TCP sockets, and solved 500+ DSA problems on LeetCode.
