(jun 2021 – jul 2024) · gurugram, india
Data Analytics Engineer
@ Galytix
Three years in fintech, turning unstructured financial reports into analyst-ready datasets for credit analysts at Société Générale.
- 1,200+global companies
- 120+Fortune 500 firms
- 2 h/dayprocessing time saved
- ~20%more throughput at peak
- 10interns led
Built and deployed end-to-end ETL pipelines in Python and SQL that extracted, transformed and structured financial reports for Société Générale into analyst-ready datasets covering 1,200+ global companies, including 120+ Fortune 500 firms.
Processed unstructured and semi-structured inputs, including scanned PDFs and financial tables in mixed layouts, into a single standardised schema.
Designed normalisation logic that reconciled inconsistent reporting formats across institutions and fiscal years, giving credit analysts directly comparable metrics across companies and removing manual reconciliation from their workflow.
Automated document extraction with Python and OCR tooling, cutting processing time by two hours per day and lifting throughput by about 20% during peak reporting periods.
Led a team of 10 interns across delivery teams as project lead, owning planning, task allocation and delivery against reporting deadlines.
Trained incoming interns on Python and OCR tooling so they could own extraction work independently.