I'm a Data Engineer at Cuedo Analytics in Bengaluru (joined as an intern in Feb 2026, now full-time), building production pipelines in Python and SQL that load client data into PostgreSQL and Amazon Redshift, with validation and reconciliation checks so the numbers can be trusted.
- ☁️ AWS Certified Data Engineer – Associate and Google Cloud Professional Data Engineer
- 📄 2× IEEE published: healthcare ML (ICISC 2025) and multilingual voice AI (ICEMCSI 2026)
- 🎓 B.Tech, Computer Science and Engineering, Dayananda Sagar University (2026), CGPA 9.16 / 10
- 🏆 3rd place, DSU Code Red 24-hour hackathon
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Lending analytics lakehouse on a medallion architecture (Bronze → Silver → Gold).
Python · dbt · DuckDB · SQL · Streamlit · GitHub Actions |
TaskWeave |
Voyagr |
SpeakScore |
Helping Hands |
Pagewright |
Experience, publications, certifications |
| Paper | Venue |
|---|---|
| SeniorConnect: A Voice-Enabled Mobile Platform with Regional Language Support for Elderly Well-Being and Government Scheme Advisory Across India DOI 10.1109/ICEMCSI67638.2026.11602809 |
IEEE ICEMCSI 2026 Bengaluru · Jun 2026 |
| Multi-Disease Detection Using Hybrid Models and Transfer Learning: Cardiovascular, Pulmonary, Retinal and Renal Kidney 98.75% · Pulmonary 91.00% · Cardiovascular 86.41% · Retinopathy 85.54% accuracy · DOI 10.1109/ICISC65841.2025.11188016 |
IEEE ICISC 2025 Coimbatore · Aug 2025 |
| Certification | Issued | Valid until | |
|---|---|---|---|
| AWS Certified Data Engineer – Associate (DEA-C01) | Jul 2026 | Jul 2029 | |
| Google Cloud Certified Professional Data Engineer | Mar 2026 | Mar 2028 |
Bengaluru, India · Feb 2026 – Present · joined as a Data Engineering Intern, converted to full-time
- Built production data pipelines in Python and SQL that ingest and transform client datasets into PostgreSQL and Amazon Redshift.
- Wrote SQL validation and reconciliation checks across source and target systems (row counts, totals, consistency).
- Implemented data-quality checks and tuned Redshift queries for analytical workloads.
- Ran disaster-recovery tests on production workflows and documented pipelines for cross-team handoff.
- Cloud data migration: PostgreSQL → Amazon Redshift with AWS DMS full load + CDC, Amazon S3 and AWS Glue / PySpark.
| Area | Stack |
|---|---|
| Languages | |
| Data engineering | |
| AWS | |
| Google Cloud | |
| Databases | |
| Tools | |
| ML |
Raw data in. Reliable insights out.
Portfolio · LinkedIn · Email






