At CDAC, I built and deployed a Java-based accounting web application on a client’s private cloud. I also developed data ingestion pipelines that brought billing and register data from 10+ source systems into scheduled processing of about 1M+ records per day.
I organized raw CSV feeds into raw and curated storage zones, improving downstream query performance by about 60% and making curated data audit-ready. By tuning SQL queries, I reduced latency from about 1,000 ms to 40 ms, and routine database backups had 100% successful restores in recovery checks.
I integrated the client’s data API to automate bill and budget reports, reducing turnaround from hours to minutes. I also monitored HDFS processing, resolved job errors and bad records, and cut failed reruns by about 30%.
In personal projects, I built an AWS data lake and analytics platform, and a RAG-based resume-matching app with FastAPI, React, LangChain, and FAISS. I’m a Databricks Certified Data Engineer Associate and have hands-on experience with Python, SQL, Spark, AWS, and Azure.
